修改为东南天坐标系

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/__init__.py

@@ -0,0 +1,185 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import TYPE_CHECKING
+from importlib import import_module
+import builtins
+
+if TYPE_CHECKING:
+    from .annotations import get_discriminator
+    from .datetimes import parse_datetime
+    from .enums import OpenEnumMeta
+    from .headers import get_headers, get_response_headers
+    from .metadata import (
+        FieldMetadata,
+        find_metadata,
+        FormMetadata,
+        HeaderMetadata,
+        MultipartFormMetadata,
+        PathParamMetadata,
+        QueryParamMetadata,
+        RequestMetadata,
+        SecurityMetadata,
+    )
+    from .queryparams import get_query_params
+    from .retries import BackoffStrategy, Retries, retry, retry_async, RetryConfig
+    from .requestbodies import serialize_request_body, SerializedRequestBody
+    from .security import get_security
+    from .serializers import (
+        get_pydantic_model,
+        marshal_json,
+        unmarshal,
+        unmarshal_json,
+        serialize_decimal,
+        serialize_float,
+        serialize_int,
+        stream_to_text,
+        stream_to_text_async,
+        stream_to_bytes,
+        stream_to_bytes_async,
+        validate_const,
+        validate_decimal,
+        validate_float,
+        validate_int,
+        validate_open_enum,
+    )
+    from .url import generate_url, template_url, remove_suffix
+    from .values import (
+        get_global_from_env,
+        match_content_type,
+        match_status_codes,
+        match_response,
+        cast_partial,
+    )
+    from .logger import Logger, get_body_content, get_default_logger
+
+__all__ = [
+    "BackoffStrategy",
+    "FieldMetadata",
+    "find_metadata",
+    "FormMetadata",
+    "generate_url",
+    "get_body_content",
+    "get_default_logger",
+    "get_discriminator",
+    "parse_datetime",
+    "get_global_from_env",
+    "get_headers",
+    "get_pydantic_model",
+    "get_query_params",
+    "get_response_headers",
+    "get_security",
+    "HeaderMetadata",
+    "Logger",
+    "marshal_json",
+    "match_content_type",
+    "match_status_codes",
+    "match_response",
+    "MultipartFormMetadata",
+    "OpenEnumMeta",
+    "PathParamMetadata",
+    "QueryParamMetadata",
+    "remove_suffix",
+    "Retries",
+    "retry",
+    "retry_async",
+    "RetryConfig",
+    "RequestMetadata",
+    "SecurityMetadata",
+    "serialize_decimal",
+    "serialize_float",
+    "serialize_int",
+    "serialize_request_body",
+    "SerializedRequestBody",
+    "stream_to_text",
+    "stream_to_text_async",
+    "stream_to_bytes",
+    "stream_to_bytes_async",
+    "template_url",
+    "unmarshal",
+    "unmarshal_json",
+    "validate_decimal",
+    "validate_const",
+    "validate_float",
+    "validate_int",
+    "validate_open_enum",
+    "cast_partial",
+]
+
+_dynamic_imports: dict[str, str] = {
+    "BackoffStrategy": ".retries",
+    "FieldMetadata": ".metadata",
+    "find_metadata": ".metadata",
+    "FormMetadata": ".metadata",
+    "generate_url": ".url",
+    "get_body_content": ".logger",
+    "get_default_logger": ".logger",
+    "get_discriminator": ".annotations",
+    "parse_datetime": ".datetimes",
+    "get_global_from_env": ".values",
+    "get_headers": ".headers",
+    "get_pydantic_model": ".serializers",
+    "get_query_params": ".queryparams",
+    "get_response_headers": ".headers",
+    "get_security": ".security",
+    "HeaderMetadata": ".metadata",
+    "Logger": ".logger",
+    "marshal_json": ".serializers",
+    "match_content_type": ".values",
+    "match_status_codes": ".values",
+    "match_response": ".values",
+    "MultipartFormMetadata": ".metadata",
+    "OpenEnumMeta": ".enums",
+    "PathParamMetadata": ".metadata",
+    "QueryParamMetadata": ".metadata",
+    "remove_suffix": ".url",
+    "Retries": ".retries",
+    "retry": ".retries",
+    "retry_async": ".retries",
+    "RetryConfig": ".retries",
+    "RequestMetadata": ".metadata",
+    "SecurityMetadata": ".metadata",
+    "serialize_decimal": ".serializers",
+    "serialize_float": ".serializers",
+    "serialize_int": ".serializers",
+    "serialize_request_body": ".requestbodies",
+    "SerializedRequestBody": ".requestbodies",
+    "stream_to_text": ".serializers",
+    "stream_to_text_async": ".serializers",
+    "stream_to_bytes": ".serializers",
+    "stream_to_bytes_async": ".serializers",
+    "template_url": ".url",
+    "unmarshal": ".serializers",
+    "unmarshal_json": ".serializers",
+    "validate_decimal": ".serializers",
+    "validate_const": ".serializers",
+    "validate_float": ".serializers",
+    "validate_int": ".serializers",
+    "validate_open_enum": ".serializers",
+    "cast_partial": ".values",
+}
+
+
+def __getattr__(attr_name: str) -> object:
+    module_name = _dynamic_imports.get(attr_name)
+    if module_name is None:
+        raise AttributeError(
+            f"no {attr_name} found in _dynamic_imports, module name -> {__name__} "
+        )
+
+    try:
+        module = import_module(module_name, __package__)
+        result = getattr(module, attr_name)
+        return result
+    except ImportError as e:
+        raise ImportError(
+            f"Failed to import {attr_name} from {module_name}: {e}"
+        ) from e
+    except AttributeError as e:
+        raise AttributeError(
+            f"Failed to get {attr_name} from {module_name}: {e}"
+        ) from e
+
+
+def __dir__():
+    lazy_attrs = builtins.list(_dynamic_imports.keys())
+    return builtins.sorted(lazy_attrs)

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/annotations.py

@@ -0,0 +1,55 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from enum import Enum
+from typing import Any, Optional
+
+def get_discriminator(model: Any, fieldname: str, key: str) -> str:
+    """
+    Recursively search for the discriminator attribute in a model.
+
+    Args:
+        model (Any): The model to search within.
+        fieldname (str): The name of the field to search for.
+        key (str): The key to search for in dictionaries.
+
+    Returns:
+        str: The name of the discriminator attribute.
+
+    Raises:
+        ValueError: If the discriminator attribute is not found.
+    """
+    upper_fieldname = fieldname.upper()
+
+    def get_field_discriminator(field: Any) -> Optional[str]:
+        """Search for the discriminator attribute in a given field."""
+
+        if isinstance(field, dict):
+            if key in field:
+                return f'{field[key]}'
+
+        if hasattr(field, fieldname):
+            attr = getattr(field, fieldname)
+            if isinstance(attr, Enum):
+                return f'{attr.value}'
+            return f'{attr}'
+
+        if hasattr(field, upper_fieldname):
+            attr = getattr(field, upper_fieldname)
+            if isinstance(attr, Enum):
+                return f'{attr.value}'
+            return f'{attr}'
+
+        return None
+
+
+    if isinstance(model, list):
+        for field in model:
+            discriminator = get_field_discriminator(field)
+            if discriminator is not None:
+                return discriminator
+
+    discriminator = get_field_discriminator(model)
+    if discriminator is not None:
+        return discriminator
+
+    raise ValueError(f'Could not find discriminator field {fieldname} in {model}')

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/datetimes.py

@@ -0,0 +1,23 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from datetime import datetime
+import sys
+
+
+def parse_datetime(datetime_string: str) -> datetime:
+    """
+    Convert a RFC 3339 / ISO 8601 formatted string into a datetime object.
+    Python versions 3.11 and later support parsing RFC 3339 directly with
+    datetime.fromisoformat(), but for earlier versions, this function
+    encapsulates the necessary extra logic.
+    """
+    # Python 3.11 and later can parse RFC 3339 directly
+    if sys.version_info >= (3, 11):
+        return datetime.fromisoformat(datetime_string)
+    
+    # For Python 3.10 and earlier, a common ValueError is trailing 'Z' suffix,
+    # so fix that upfront.
+    if datetime_string.endswith("Z"):
+        datetime_string = datetime_string[:-1] + "+00:00"
+
+    return datetime.fromisoformat(datetime_string)

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/enums.py

@@ -0,0 +1,74 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import enum
+import sys
+
+class OpenEnumMeta(enum.EnumMeta):
+    # The __call__ method `boundary` kwarg was added in 3.11 and must be present
+    # for pyright. Refer also: https://github.com/pylint-dev/pylint/issues/9622
+    # pylint: disable=unexpected-keyword-arg
+    # The __call__ method `values` varg must be named for pyright.
+    # pylint: disable=keyword-arg-before-vararg
+
+    if sys.version_info >= (3, 11):
+        def __call__(
+            cls, value, names=None, *values, module=None, qualname=None, type=None, start=1, boundary=None
+        ):
+            # The `type` kwarg also happens to be a built-in that pylint flags as
+            # redeclared. Safe to ignore this lint rule with this scope.
+            # pylint: disable=redefined-builtin
+
+            if names is not None:
+                return super().__call__(
+                    value,
+                    names=names,
+                    *values,
+                    module=module,
+                    qualname=qualname,
+                    type=type,
+                    start=start,
+                    boundary=boundary,
+                )
+
+            try:
+                return super().__call__(
+                    value,
+                    names=names,  # pyright: ignore[reportArgumentType]
+                    *values,
+                    module=module,
+                    qualname=qualname,
+                    type=type,
+                    start=start,
+                    boundary=boundary,
+                )
+            except ValueError:
+                return value
+    else:
+        def __call__(
+            cls, value, names=None, *, module=None, qualname=None, type=None, start=1
+        ):
+            # The `type` kwarg also happens to be a built-in that pylint flags as
+            # redeclared. Safe to ignore this lint rule with this scope.
+            # pylint: disable=redefined-builtin
+
+            if names is not None:
+                return super().__call__(
+                    value,
+                    names=names,
+                    module=module,
+                    qualname=qualname,
+                    type=type,
+                    start=start,
+                )
+
+            try:
+                return super().__call__(
+                    value,
+                    names=names,  # pyright: ignore[reportArgumentType]
+                    module=module,
+                    qualname=qualname,
+                    type=type,
+                    start=start,
+                )
+            except ValueError:
+                return value

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/eventstreaming.py

@@ -0,0 +1,238 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import re
+import json
+from typing import (
+    Callable,
+    Generic,
+    TypeVar,
+    Optional,
+    Generator,
+    AsyncGenerator,
+    Tuple,
+)
+import httpx
+
+T = TypeVar("T")
+
+
+class EventStream(Generic[T]):
+    response: httpx.Response
+    generator: Generator[T, None, None]
+
+    def __init__(
+        self,
+        response: httpx.Response,
+        decoder: Callable[[str], T],
+        sentinel: Optional[str] = None,
+    ):
+        self.response = response
+        self.generator = stream_events(response, decoder, sentinel)
+
+    def __iter__(self):
+        return self
+
+    def __next__(self):
+        return next(self.generator)
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.response.close()
+
+
+class EventStreamAsync(Generic[T]):
+    response: httpx.Response
+    generator: AsyncGenerator[T, None]
+
+    def __init__(
+        self,
+        response: httpx.Response,
+        decoder: Callable[[str], T],
+        sentinel: Optional[str] = None,
+    ):
+        self.response = response
+        self.generator = stream_events_async(response, decoder, sentinel)
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        return await self.generator.__anext__()
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        await self.response.aclose()
+
+
+class ServerEvent:
+    id: Optional[str] = None
+    event: Optional[str] = None
+    data: Optional[str] = None
+    retry: Optional[int] = None
+
+
+MESSAGE_BOUNDARIES = [
+    b"\r\n\r\n",
+    b"\n\n",
+    b"\r\r",
+]
+
+
+async def stream_events_async(
+    response: httpx.Response,
+    decoder: Callable[[str], T],
+    sentinel: Optional[str] = None,
+) -> AsyncGenerator[T, None]:
+    buffer = bytearray()
+    position = 0
+    discard = False
+    async for chunk in response.aiter_bytes():
+        # We've encountered the sentinel value and should no longer process
+        # incoming data. Instead we throw new data away until the server closes
+        # the connection.
+        if discard:
+            continue
+
+        buffer += chunk
+        for i in range(position, len(buffer)):
+            char = buffer[i : i + 1]
+            seq: Optional[bytes] = None
+            if char in [b"\r", b"\n"]:
+                for boundary in MESSAGE_BOUNDARIES:
+                    seq = _peek_sequence(i, buffer, boundary)
+                    if seq is not None:
+                        break
+            if seq is None:
+                continue
+
+            block = buffer[position:i]
+            position = i + len(seq)
+            event, discard = _parse_event(block, decoder, sentinel)
+            if event is not None:
+                yield event
+
+        if position > 0:
+            buffer = buffer[position:]
+            position = 0
+
+    event, discard = _parse_event(buffer, decoder, sentinel)
+    if event is not None:
+        yield event
+
+
+def stream_events(
+    response: httpx.Response,
+    decoder: Callable[[str], T],
+    sentinel: Optional[str] = None,
+) -> Generator[T, None, None]:
+    buffer = bytearray()
+    position = 0
+    discard = False
+    for chunk in response.iter_bytes():
+        # We've encountered the sentinel value and should no longer process
+        # incoming data. Instead we throw new data away until the server closes
+        # the connection.
+        if discard:
+            continue
+
+        buffer += chunk
+        for i in range(position, len(buffer)):
+            char = buffer[i : i + 1]
+            seq: Optional[bytes] = None
+            if char in [b"\r", b"\n"]:
+                for boundary in MESSAGE_BOUNDARIES:
+                    seq = _peek_sequence(i, buffer, boundary)
+                    if seq is not None:
+                        break
+            if seq is None:
+                continue
+
+            block = buffer[position:i]
+            position = i + len(seq)
+            event, discard = _parse_event(block, decoder, sentinel)
+            if event is not None:
+                yield event
+
+        if position > 0:
+            buffer = buffer[position:]
+            position = 0
+
+    event, discard = _parse_event(buffer, decoder, sentinel)
+    if event is not None:
+        yield event
+
+
+def _parse_event(
+    raw: bytearray, decoder: Callable[[str], T], sentinel: Optional[str] = None
+) -> Tuple[Optional[T], bool]:
+    block = raw.decode()
+    lines = re.split(r"\r?\n|\r", block)
+    publish = False
+    event = ServerEvent()
+    data = ""
+    for line in lines:
+        if not line:
+            continue
+
+        delim = line.find(":")
+        if delim <= 0:
+            continue
+
+        field = line[0:delim]
+        value = line[delim + 1 :] if delim < len(line) - 1 else ""
+        if len(value) and value[0] == " ":
+            value = value[1:]
+
+        if field == "event":
+            event.event = value
+            publish = True
+        elif field == "data":
+            data += value + "\n"
+            publish = True
+        elif field == "id":
+            event.id = value
+            publish = True
+        elif field == "retry":
+            event.retry = int(value) if value.isdigit() else None
+            publish = True
+
+    if sentinel and data == f"{sentinel}\n":
+        return None, True
+
+    if data:
+        data = data[:-1]
+        event.data = data
+
+        data_is_primitive = (
+            data.isnumeric() or data == "true" or data == "false" or data == "null"
+        )
+        data_is_json = (
+            data.startswith("{") or data.startswith("[") or data.startswith('"')
+        )
+
+        if data_is_primitive or data_is_json:
+            try:
+                event.data = json.loads(data)
+            except Exception:
+                pass
+
+    out = None
+    if publish:
+        out = decoder(json.dumps(event.__dict__))
+
+    return out, False
+
+
+def _peek_sequence(position: int, buffer: bytearray, sequence: bytes):
+    if len(sequence) > (len(buffer) - position):
+        return None
+
+    for i, seq in enumerate(sequence):
+        if buffer[position + i] != seq:
+            return None
+
+    return sequence

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/forms.py

@@ -0,0 +1,223 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import (
+    Any,
+    Dict,
+    get_type_hints,
+    List,
+    Tuple,
+)
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from .serializers import marshal_json
+
+from .metadata import (
+    FormMetadata,
+    MultipartFormMetadata,
+    find_field_metadata,
+)
+from .values import _is_set, _val_to_string
+
+
+def _populate_form(
+    field_name: str,
+    explode: bool,
+    obj: Any,
+    delimiter: str,
+    form: Dict[str, List[str]],
+):
+    if not _is_set(obj):
+        return form
+
+    if isinstance(obj, BaseModel):
+        items = []
+
+        obj_fields: Dict[str, FieldInfo] = obj.__class__.model_fields
+        for name in obj_fields:
+            obj_field = obj_fields[name]
+            obj_field_name = obj_field.alias if obj_field.alias is not None else name
+            if obj_field_name == "":
+                continue
+
+            val = getattr(obj, name)
+            if not _is_set(val):
+                continue
+
+            if explode:
+                form[obj_field_name] = [_val_to_string(val)]
+            else:
+                items.append(f"{obj_field_name}{delimiter}{_val_to_string(val)}")
+
+        if len(items) > 0:
+            form[field_name] = [delimiter.join(items)]
+    elif isinstance(obj, Dict):
+        items = []
+        for key, value in obj.items():
+            if not _is_set(value):
+                continue
+
+            if explode:
+                form[key] = [_val_to_string(value)]
+            else:
+                items.append(f"{key}{delimiter}{_val_to_string(value)}")
+
+        if len(items) > 0:
+            form[field_name] = [delimiter.join(items)]
+    elif isinstance(obj, List):
+        items = []
+
+        for value in obj:
+            if not _is_set(value):
+                continue
+
+            if explode:
+                if not field_name in form:
+                    form[field_name] = []
+                form[field_name].append(_val_to_string(value))
+            else:
+                items.append(_val_to_string(value))
+
+        if len(items) > 0:
+            form[field_name] = [delimiter.join([str(item) for item in items])]
+    else:
+        form[field_name] = [_val_to_string(obj)]
+
+    return form
+
+
+def _extract_file_properties(file_obj: Any) -> Tuple[str, Any, Any]:
+    """Extract file name, content, and content type from a file object."""
+    file_fields: Dict[str, FieldInfo] = file_obj.__class__.model_fields
+
+    file_name = ""
+    content = None
+    content_type = None
+
+    for file_field_name in file_fields:
+        file_field = file_fields[file_field_name]
+
+        file_metadata = find_field_metadata(file_field, MultipartFormMetadata)
+        if file_metadata is None:
+            continue
+
+        if file_metadata.content:
+            content = getattr(file_obj, file_field_name, None)
+        elif file_field_name == "content_type":
+            content_type = getattr(file_obj, file_field_name, None)
+        else:
+            file_name = getattr(file_obj, file_field_name)
+
+    if file_name == "" or content is None:
+        raise ValueError("invalid multipart/form-data file")
+
+    return file_name, content, content_type
+
+
+def serialize_multipart_form(
+    media_type: str, request: Any
+) -> Tuple[str, Dict[str, Any], List[Tuple[str, Any]]]:
+    form: Dict[str, Any] = {}
+    files: List[Tuple[str, Any]] = []
+
+    if not isinstance(request, BaseModel):
+        raise TypeError("invalid request body type")
+
+    request_fields: Dict[str, FieldInfo] = request.__class__.model_fields
+    request_field_types = get_type_hints(request.__class__)
+
+    for name in request_fields:
+        field = request_fields[name]
+
+        val = getattr(request, name)
+        if not _is_set(val):
+            continue
+
+        field_metadata = find_field_metadata(field, MultipartFormMetadata)
+        if not field_metadata:
+            continue
+
+        f_name = field.alias if field.alias else name
+
+        if field_metadata.file:
+            if isinstance(val, List):
+                # Handle array of files
+                for file_obj in val:
+                    if not _is_set(file_obj):
+                        continue
+                        
+                    file_name, content, content_type = _extract_file_properties(file_obj)
+
+                    if content_type is not None:
+                        files.append((f_name + "[]", (file_name, content, content_type)))
+                    else:
+                        files.append((f_name + "[]", (file_name, content)))
+            else:
+                # Handle single file
+                file_name, content, content_type = _extract_file_properties(val)
+
+                if content_type is not None:
+                    files.append((f_name, (file_name, content, content_type)))
+                else:
+                    files.append((f_name, (file_name, content)))
+        elif field_metadata.json:
+            files.append((f_name, (
+                None,
+                marshal_json(val, request_field_types[name]),
+                "application/json",
+            )))
+        else:
+            if isinstance(val, List):
+                values = []
+
+                for value in val:
+                    if not _is_set(value):
+                        continue
+                    values.append(_val_to_string(value))
+
+                form[f_name + "[]"] = values
+            else:
+                form[f_name] = _val_to_string(val)
+    return media_type, form, files
+
+
+def serialize_form_data(data: Any) -> Dict[str, Any]:
+    form: Dict[str, List[str]] = {}
+
+    if isinstance(data, BaseModel):
+        data_fields: Dict[str, FieldInfo] = data.__class__.model_fields
+        data_field_types = get_type_hints(data.__class__)
+        for name in data_fields:
+            field = data_fields[name]
+
+            val = getattr(data, name)
+            if not _is_set(val):
+                continue
+
+            metadata = find_field_metadata(field, FormMetadata)
+            if metadata is None:
+                continue
+
+            f_name = field.alias if field.alias is not None else name
+
+            if metadata.json:
+                form[f_name] = [marshal_json(val, data_field_types[name])]
+            else:
+                if metadata.style == "form":
+                    _populate_form(
+                        f_name,
+                        metadata.explode,
+                        val,
+                        ",",
+                        form,
+                    )
+                else:
+                    raise ValueError(f"Invalid form style for field {name}")
+    elif isinstance(data, Dict):
+        for key, value in data.items():
+            if _is_set(value):
+                form[key] = [_val_to_string(value)]
+    else:
+        raise TypeError(f"Invalid request body type {type(data)} for form data")
+
+    return form

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/headers.py

@@ -0,0 +1,136 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import (
+    Any,
+    Dict,
+    List,
+    Optional,
+)
+from httpx import Headers
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from .metadata import (
+    HeaderMetadata,
+    find_field_metadata,
+)
+
+from .values import _is_set, _populate_from_globals, _val_to_string
+
+
+def get_headers(headers_params: Any, gbls: Optional[Any] = None) -> Dict[str, str]:
+    headers: Dict[str, str] = {}
+
+    globals_already_populated = []
+    if _is_set(headers_params):
+        globals_already_populated = _populate_headers(headers_params, gbls, headers, [])
+    if _is_set(gbls):
+        _populate_headers(gbls, None, headers, globals_already_populated)
+
+    return headers
+
+
+def _populate_headers(
+    headers_params: Any,
+    gbls: Any,
+    header_values: Dict[str, str],
+    skip_fields: List[str],
+) -> List[str]:
+    globals_already_populated: List[str] = []
+
+    if not isinstance(headers_params, BaseModel):
+        return globals_already_populated
+
+    param_fields: Dict[str, FieldInfo] = headers_params.__class__.model_fields
+    for name in param_fields:
+        if name in skip_fields:
+            continue
+
+        field = param_fields[name]
+        f_name = field.alias if field.alias is not None else name
+
+        metadata = find_field_metadata(field, HeaderMetadata)
+        if metadata is None:
+            continue
+
+        value, global_found = _populate_from_globals(
+            name, getattr(headers_params, name), HeaderMetadata, gbls
+        )
+        if global_found:
+            globals_already_populated.append(name)
+        value = _serialize_header(metadata.explode, value)
+
+        if value != "":
+            header_values[f_name] = value
+
+    return globals_already_populated
+
+
+def _serialize_header(explode: bool, obj: Any) -> str:
+    if not _is_set(obj):
+        return ""
+
+    if isinstance(obj, BaseModel):
+        items = []
+        obj_fields: Dict[str, FieldInfo] = obj.__class__.model_fields
+        for name in obj_fields:
+            obj_field = obj_fields[name]
+            obj_param_metadata = find_field_metadata(obj_field, HeaderMetadata)
+
+            if not obj_param_metadata:
+                continue
+
+            f_name = obj_field.alias if obj_field.alias is not None else name
+
+            val = getattr(obj, name)
+            if not _is_set(val):
+                continue
+
+            if explode:
+                items.append(f"{f_name}={_val_to_string(val)}")
+            else:
+                items.append(f_name)
+                items.append(_val_to_string(val))
+
+        if len(items) > 0:
+            return ",".join(items)
+    elif isinstance(obj, Dict):
+        items = []
+
+        for key, value in obj.items():
+            if not _is_set(value):
+                continue
+
+            if explode:
+                items.append(f"{key}={_val_to_string(value)}")
+            else:
+                items.append(key)
+                items.append(_val_to_string(value))
+
+        if len(items) > 0:
+            return ",".join([str(item) for item in items])
+    elif isinstance(obj, List):
+        items = []
+
+        for value in obj:
+            if not _is_set(value):
+                continue
+
+            items.append(_val_to_string(value))
+
+        if len(items) > 0:
+            return ",".join(items)
+    elif _is_set(obj):
+        return f"{_val_to_string(obj)}"
+
+    return ""
+
+
+def get_response_headers(headers: Headers) -> Dict[str, List[str]]:
+    res: Dict[str, List[str]] = {}
+    for k, v in headers.items():
+        if not k in res:
+            res[k] = []
+
+        res[k].append(v)
+    return res

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/logger.py

@@ -0,0 +1,22 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import httpx
+from typing import Any, Protocol
+
+
+class Logger(Protocol):
+    def debug(self, msg: str, *args: Any, **kwargs: Any) -> None:
+        pass
+
+
+class NoOpLogger:
+    def debug(self, msg: str, *args: Any, **kwargs: Any) -> None:
+        pass
+
+
+def get_body_content(req: httpx.Request) -> str:
+    return "<streaming body>" if not hasattr(req, "_content") else str(req.content)
+
+
+def get_default_logger() -> Logger:
+    return NoOpLogger()

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/metadata.py

@@ -0,0 +1,118 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import Optional, Type, TypeVar, Union
+from dataclasses import dataclass
+from pydantic.fields import FieldInfo
+
+
+T = TypeVar("T")
+
+
+@dataclass
+class SecurityMetadata:
+    option: bool = False
+    scheme: bool = False
+    scheme_type: Optional[str] = None
+    sub_type: Optional[str] = None
+    field_name: Optional[str] = None
+
+    def get_field_name(self, default: str) -> str:
+        return self.field_name or default
+
+
+@dataclass
+class ParamMetadata:
+    serialization: Optional[str] = None
+    style: str = "simple"
+    explode: bool = False
+
+
+@dataclass
+class PathParamMetadata(ParamMetadata):
+    pass
+
+
+@dataclass
+class QueryParamMetadata(ParamMetadata):
+    style: str = "form"
+    explode: bool = True
+
+
+@dataclass
+class HeaderMetadata(ParamMetadata):
+    pass
+
+
+@dataclass
+class RequestMetadata:
+    media_type: str = "application/octet-stream"
+
+
+@dataclass
+class MultipartFormMetadata:
+    file: bool = False
+    content: bool = False
+    json: bool = False
+
+
+@dataclass
+class FormMetadata:
+    json: bool = False
+    style: str = "form"
+    explode: bool = True
+
+
+class FieldMetadata:
+    security: Optional[SecurityMetadata] = None
+    path: Optional[PathParamMetadata] = None
+    query: Optional[QueryParamMetadata] = None
+    header: Optional[HeaderMetadata] = None
+    request: Optional[RequestMetadata] = None
+    form: Optional[FormMetadata] = None
+    multipart: Optional[MultipartFormMetadata] = None
+
+    def __init__(
+        self,
+        security: Optional[SecurityMetadata] = None,
+        path: Optional[Union[PathParamMetadata, bool]] = None,
+        query: Optional[Union[QueryParamMetadata, bool]] = None,
+        header: Optional[Union[HeaderMetadata, bool]] = None,
+        request: Optional[Union[RequestMetadata, bool]] = None,
+        form: Optional[Union[FormMetadata, bool]] = None,
+        multipart: Optional[Union[MultipartFormMetadata, bool]] = None,
+    ):
+        self.security = security
+        self.path = PathParamMetadata() if isinstance(path, bool) else path
+        self.query = QueryParamMetadata() if isinstance(query, bool) else query
+        self.header = HeaderMetadata() if isinstance(header, bool) else header
+        self.request = RequestMetadata() if isinstance(request, bool) else request
+        self.form = FormMetadata() if isinstance(form, bool) else form
+        self.multipart = (
+            MultipartFormMetadata() if isinstance(multipart, bool) else multipart
+        )
+
+
+def find_field_metadata(field_info: FieldInfo, metadata_type: Type[T]) -> Optional[T]:
+    metadata = find_metadata(field_info, FieldMetadata)
+    if not metadata:
+        return None
+
+    fields = metadata.__dict__
+
+    for field in fields:
+        if isinstance(fields[field], metadata_type):
+            return fields[field]
+
+    return None
+
+
+def find_metadata(field_info: FieldInfo, metadata_type: Type[T]) -> Optional[T]:
+    metadata = field_info.metadata
+    if not metadata:
+        return None
+
+    for md in metadata:
+        if isinstance(md, metadata_type):
+            return md
+
+    return None

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/queryparams.py

@@ -0,0 +1,205 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import (
+    Any,
+    Dict,
+    get_type_hints,
+    List,
+    Optional,
+)
+
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from .metadata import (
+    QueryParamMetadata,
+    find_field_metadata,
+)
+from .values import (
+    _get_serialized_params,
+    _is_set,
+    _populate_from_globals,
+    _val_to_string,
+)
+from .forms import _populate_form
+
+
+def get_query_params(
+    query_params: Any,
+    gbls: Optional[Any] = None,
+) -> Dict[str, List[str]]:
+    params: Dict[str, List[str]] = {}
+
+    globals_already_populated = _populate_query_params(query_params, gbls, params, [])
+    if _is_set(gbls):
+        _populate_query_params(gbls, None, params, globals_already_populated)
+
+    return params
+
+
+def _populate_query_params(
+    query_params: Any,
+    gbls: Any,
+    query_param_values: Dict[str, List[str]],
+    skip_fields: List[str],
+) -> List[str]:
+    globals_already_populated: List[str] = []
+
+    if not isinstance(query_params, BaseModel):
+        return globals_already_populated
+
+    param_fields: Dict[str, FieldInfo] = query_params.__class__.model_fields
+    param_field_types = get_type_hints(query_params.__class__)
+    for name in param_fields:
+        if name in skip_fields:
+            continue
+
+        field = param_fields[name]
+
+        metadata = find_field_metadata(field, QueryParamMetadata)
+        if not metadata:
+            continue
+
+        value = getattr(query_params, name) if _is_set(query_params) else None
+
+        value, global_found = _populate_from_globals(
+            name, value, QueryParamMetadata, gbls
+        )
+        if global_found:
+            globals_already_populated.append(name)
+
+        f_name = field.alias if field.alias is not None else name
+        serialization = metadata.serialization
+        if serialization is not None:
+            serialized_parms = _get_serialized_params(
+                metadata, f_name, value, param_field_types[name]
+            )
+            for key, value in serialized_parms.items():
+                if key in query_param_values:
+                    query_param_values[key].extend(value)
+                else:
+                    query_param_values[key] = [value]
+        else:
+            style = metadata.style
+            if style == "deepObject":
+                _populate_deep_object_query_params(f_name, value, query_param_values)
+            elif style == "form":
+                _populate_delimited_query_params(
+                    metadata, f_name, value, ",", query_param_values
+                )
+            elif style == "pipeDelimited":
+                _populate_delimited_query_params(
+                    metadata, f_name, value, "|", query_param_values
+                )
+            else:
+                raise NotImplementedError(
+                    f"query param style {style} not yet supported"
+                )
+
+    return globals_already_populated
+
+
+def _populate_deep_object_query_params(
+    field_name: str,
+    obj: Any,
+    params: Dict[str, List[str]],
+):
+    if not _is_set(obj):
+        return
+
+    if isinstance(obj, BaseModel):
+        _populate_deep_object_query_params_basemodel(field_name, obj, params)
+    elif isinstance(obj, Dict):
+        _populate_deep_object_query_params_dict(field_name, obj, params)
+
+
+def _populate_deep_object_query_params_basemodel(
+    prior_params_key: str,
+    obj: Any,
+    params: Dict[str, List[str]],
+):
+    if not _is_set(obj) or not isinstance(obj, BaseModel):
+        return
+
+    obj_fields: Dict[str, FieldInfo] = obj.__class__.model_fields
+    for name in obj_fields:
+        obj_field = obj_fields[name]
+
+        f_name = obj_field.alias if obj_field.alias is not None else name
+
+        params_key = f"{prior_params_key}[{f_name}]"
+
+        obj_param_metadata = find_field_metadata(obj_field, QueryParamMetadata)
+        if not _is_set(obj_param_metadata):
+            continue
+
+        obj_val = getattr(obj, name)
+        if not _is_set(obj_val):
+            continue
+
+        if isinstance(obj_val, BaseModel):
+            _populate_deep_object_query_params_basemodel(params_key, obj_val, params)
+        elif isinstance(obj_val, Dict):
+            _populate_deep_object_query_params_dict(params_key, obj_val, params)
+        elif isinstance(obj_val, List):
+            _populate_deep_object_query_params_list(params_key, obj_val, params)
+        else:
+            params[params_key] = [_val_to_string(obj_val)]
+
+
+def _populate_deep_object_query_params_dict(
+    prior_params_key: str,
+    value: Dict,
+    params: Dict[str, List[str]],
+):
+    if not _is_set(value):
+        return
+
+    for key, val in value.items():
+        if not _is_set(val):
+            continue
+
+        params_key = f"{prior_params_key}[{key}]"
+
+        if isinstance(val, BaseModel):
+            _populate_deep_object_query_params_basemodel(params_key, val, params)
+        elif isinstance(val, Dict):
+            _populate_deep_object_query_params_dict(params_key, val, params)
+        elif isinstance(val, List):
+            _populate_deep_object_query_params_list(params_key, val, params)
+        else:
+            params[params_key] = [_val_to_string(val)]
+
+
+def _populate_deep_object_query_params_list(
+    params_key: str,
+    value: List,
+    params: Dict[str, List[str]],
+):
+    if not _is_set(value):
+        return
+
+    for val in value:
+        if not _is_set(val):
+            continue
+
+        if params.get(params_key) is None:
+            params[params_key] = []
+
+        params[params_key].append(_val_to_string(val))
+
+
+def _populate_delimited_query_params(
+    metadata: QueryParamMetadata,
+    field_name: str,
+    obj: Any,
+    delimiter: str,
+    query_param_values: Dict[str, List[str]],
+):
+    _populate_form(
+        field_name,
+        metadata.explode,
+        obj,
+        delimiter,
+        query_param_values,
+    )

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/requestbodies.py

@@ -0,0 +1,66 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import io
+from dataclasses import dataclass
+import re
+from typing import (
+    Any,
+    Optional,
+)
+
+from .forms import serialize_form_data, serialize_multipart_form
+
+from .serializers import marshal_json
+
+SERIALIZATION_METHOD_TO_CONTENT_TYPE = {
+    "json": "application/json",
+    "form": "application/x-www-form-urlencoded",
+    "multipart": "multipart/form-data",
+    "raw": "application/octet-stream",
+    "string": "text/plain",
+}
+
+
+@dataclass
+class SerializedRequestBody:
+    media_type: Optional[str] = None
+    content: Optional[Any] = None
+    data: Optional[Any] = None
+    files: Optional[Any] = None
+
+
+def serialize_request_body(
+    request_body: Any,
+    nullable: bool,
+    optional: bool,
+    serialization_method: str,
+    request_body_type,
+) -> Optional[SerializedRequestBody]:
+    if request_body is None:
+        if not nullable and optional:
+            return None
+
+    media_type = SERIALIZATION_METHOD_TO_CONTENT_TYPE[serialization_method]
+
+    serialized_request_body = SerializedRequestBody(media_type)
+
+    if re.match(r"(application|text)\/.*?\+*json.*", media_type) is not None:
+        serialized_request_body.content = marshal_json(request_body, request_body_type)
+    elif re.match(r"multipart\/.*", media_type) is not None:
+        (
+            serialized_request_body.media_type,
+            serialized_request_body.data,
+            serialized_request_body.files,
+        ) = serialize_multipart_form(media_type, request_body)
+    elif re.match(r"application\/x-www-form-urlencoded.*", media_type) is not None:
+        serialized_request_body.data = serialize_form_data(request_body)
+    elif isinstance(request_body, (bytes, bytearray, io.BytesIO, io.BufferedReader)):
+        serialized_request_body.content = request_body
+    elif isinstance(request_body, str):
+        serialized_request_body.content = request_body
+    else:
+        raise TypeError(
+            f"invalid request body type {type(request_body)} for mediaType {media_type}"
+        )
+
+    return serialized_request_body

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/retries.py

@@ -0,0 +1,217 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import asyncio
+import random
+import time
+from typing import List
+
+import httpx
+
+
+class BackoffStrategy:
+    initial_interval: int
+    max_interval: int
+    exponent: float
+    max_elapsed_time: int
+
+    def __init__(
+        self,
+        initial_interval: int,
+        max_interval: int,
+        exponent: float,
+        max_elapsed_time: int,
+    ):
+        self.initial_interval = initial_interval
+        self.max_interval = max_interval
+        self.exponent = exponent
+        self.max_elapsed_time = max_elapsed_time
+
+
+class RetryConfig:
+    strategy: str
+    backoff: BackoffStrategy
+    retry_connection_errors: bool
+
+    def __init__(
+        self, strategy: str, backoff: BackoffStrategy, retry_connection_errors: bool
+    ):
+        self.strategy = strategy
+        self.backoff = backoff
+        self.retry_connection_errors = retry_connection_errors
+
+
+class Retries:
+    config: RetryConfig
+    status_codes: List[str]
+
+    def __init__(self, config: RetryConfig, status_codes: List[str]):
+        self.config = config
+        self.status_codes = status_codes
+
+
+class TemporaryError(Exception):
+    response: httpx.Response
+
+    def __init__(self, response: httpx.Response):
+        self.response = response
+
+
+class PermanentError(Exception):
+    inner: Exception
+
+    def __init__(self, inner: Exception):
+        self.inner = inner
+
+
+def retry(func, retries: Retries):
+    if retries.config.strategy == "backoff":
+
+        def do_request() -> httpx.Response:
+            res: httpx.Response
+            try:
+                res = func()
+
+                for code in retries.status_codes:
+                    if "X" in code.upper():
+                        code_range = int(code[0])
+
+                        status_major = res.status_code / 100
+
+                        if code_range <= status_major < code_range + 1:
+                            raise TemporaryError(res)
+                    else:
+                        parsed_code = int(code)
+
+                        if res.status_code == parsed_code:
+                            raise TemporaryError(res)
+            except httpx.ConnectError as exception:
+                if retries.config.retry_connection_errors:
+                    raise
+
+                raise PermanentError(exception) from exception
+            except httpx.TimeoutException as exception:
+                if retries.config.retry_connection_errors:
+                    raise
+
+                raise PermanentError(exception) from exception
+            except TemporaryError:
+                raise
+            except Exception as exception:
+                raise PermanentError(exception) from exception
+
+            return res
+
+        return retry_with_backoff(
+            do_request,
+            retries.config.backoff.initial_interval,
+            retries.config.backoff.max_interval,
+            retries.config.backoff.exponent,
+            retries.config.backoff.max_elapsed_time,
+        )
+
+    return func()
+
+
+async def retry_async(func, retries: Retries):
+    if retries.config.strategy == "backoff":
+
+        async def do_request() -> httpx.Response:
+            res: httpx.Response
+            try:
+                res = await func()
+
+                for code in retries.status_codes:
+                    if "X" in code.upper():
+                        code_range = int(code[0])
+
+                        status_major = res.status_code / 100
+
+                        if code_range <= status_major < code_range + 1:
+                            raise TemporaryError(res)
+                    else:
+                        parsed_code = int(code)
+
+                        if res.status_code == parsed_code:
+                            raise TemporaryError(res)
+            except httpx.ConnectError as exception:
+                if retries.config.retry_connection_errors:
+                    raise
+
+                raise PermanentError(exception) from exception
+            except httpx.TimeoutException as exception:
+                if retries.config.retry_connection_errors:
+                    raise
+
+                raise PermanentError(exception) from exception
+            except TemporaryError:
+                raise
+            except Exception as exception:
+                raise PermanentError(exception) from exception
+
+            return res
+
+        return await retry_with_backoff_async(
+            do_request,
+            retries.config.backoff.initial_interval,
+            retries.config.backoff.max_interval,
+            retries.config.backoff.exponent,
+            retries.config.backoff.max_elapsed_time,
+        )
+
+    return await func()
+
+
+def retry_with_backoff(
+    func,
+    initial_interval=500,
+    max_interval=60000,
+    exponent=1.5,
+    max_elapsed_time=3600000,
+):
+    start = round(time.time() * 1000)
+    retries = 0
+
+    while True:
+        try:
+            return func()
+        except PermanentError as exception:
+            raise exception.inner
+        except Exception as exception:  # pylint: disable=broad-exception-caught
+            now = round(time.time() * 1000)
+            if now - start > max_elapsed_time:
+                if isinstance(exception, TemporaryError):
+                    return exception.response
+
+                raise
+            sleep = (initial_interval / 1000) * exponent**retries + random.uniform(0, 1)
+            sleep = min(sleep, max_interval / 1000)
+            time.sleep(sleep)
+            retries += 1
+
+
+async def retry_with_backoff_async(
+    func,
+    initial_interval=500,
+    max_interval=60000,
+    exponent=1.5,
+    max_elapsed_time=3600000,
+):
+    start = round(time.time() * 1000)
+    retries = 0
+
+    while True:
+        try:
+            return await func()
+        except PermanentError as exception:
+            raise exception.inner
+        except Exception as exception:  # pylint: disable=broad-exception-caught
+            now = round(time.time() * 1000)
+            if now - start > max_elapsed_time:
+                if isinstance(exception, TemporaryError):
+                    return exception.response
+
+                raise
+            sleep = (initial_interval / 1000) * exponent**retries + random.uniform(0, 1)
+            sleep = min(sleep, max_interval / 1000)
+            await asyncio.sleep(sleep)
+            retries += 1

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/security.py

@@ -0,0 +1,174 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+import base64
+from typing import (
+    Any,
+    Dict,
+    List,
+    Tuple,
+)
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from .metadata import (
+    SecurityMetadata,
+    find_field_metadata,
+)
+
+
+def get_security(security: Any) -> Tuple[Dict[str, str], Dict[str, List[str]]]:
+    headers: Dict[str, str] = {}
+    query_params: Dict[str, List[str]] = {}
+
+    if security is None:
+        return headers, query_params
+
+    if not isinstance(security, BaseModel):
+        raise TypeError("security must be a pydantic model")
+
+    sec_fields: Dict[str, FieldInfo] = security.__class__.model_fields
+    for name in sec_fields:
+        sec_field = sec_fields[name]
+
+        value = getattr(security, name)
+        if value is None:
+            continue
+
+        metadata = find_field_metadata(sec_field, SecurityMetadata)
+        if metadata is None:
+            continue
+        if metadata.option:
+            _parse_security_option(headers, query_params, value)
+            return headers, query_params
+        if metadata.scheme:
+            # Special case for basic auth or custom auth which could be a flattened model
+            if metadata.sub_type in ["basic", "custom"] and not isinstance(
+                value, BaseModel
+            ):
+                _parse_security_scheme(headers, query_params, metadata, name, security)
+            else:
+                _parse_security_scheme(headers, query_params, metadata, name, value)
+
+    return headers, query_params
+
+
+def _parse_security_option(
+    headers: Dict[str, str], query_params: Dict[str, List[str]], option: Any
+):
+    if not isinstance(option, BaseModel):
+        raise TypeError("security option must be a pydantic model")
+
+    opt_fields: Dict[str, FieldInfo] = option.__class__.model_fields
+    for name in opt_fields:
+        opt_field = opt_fields[name]
+
+        metadata = find_field_metadata(opt_field, SecurityMetadata)
+        if metadata is None or not metadata.scheme:
+            continue
+        _parse_security_scheme(
+            headers, query_params, metadata, name, getattr(option, name)
+        )
+
+
+def _parse_security_scheme(
+    headers: Dict[str, str],
+    query_params: Dict[str, List[str]],
+    scheme_metadata: SecurityMetadata,
+    field_name: str,
+    scheme: Any,
+):
+    scheme_type = scheme_metadata.scheme_type
+    sub_type = scheme_metadata.sub_type
+
+    if isinstance(scheme, BaseModel):
+        if scheme_type == "http":
+            if sub_type == "basic":
+                _parse_basic_auth_scheme(headers, scheme)
+                return
+            if sub_type == "custom":
+                return
+
+        scheme_fields: Dict[str, FieldInfo] = scheme.__class__.model_fields
+        for name in scheme_fields:
+            scheme_field = scheme_fields[name]
+
+            metadata = find_field_metadata(scheme_field, SecurityMetadata)
+            if metadata is None or metadata.field_name is None:
+                continue
+
+            value = getattr(scheme, name)
+
+            _parse_security_scheme_value(
+                headers, query_params, scheme_metadata, metadata, name, value
+            )
+    else:
+        _parse_security_scheme_value(
+            headers, query_params, scheme_metadata, scheme_metadata, field_name, scheme
+        )
+
+
+def _parse_security_scheme_value(
+    headers: Dict[str, str],
+    query_params: Dict[str, List[str]],
+    scheme_metadata: SecurityMetadata,
+    security_metadata: SecurityMetadata,
+    field_name: str,
+    value: Any,
+):
+    scheme_type = scheme_metadata.scheme_type
+    sub_type = scheme_metadata.sub_type
+
+    header_name = security_metadata.get_field_name(field_name)
+
+    if scheme_type == "apiKey":
+        if sub_type == "header":
+            headers[header_name] = value
+        elif sub_type == "query":
+            query_params[header_name] = [value]
+        else:
+            raise ValueError("sub type {sub_type} not supported")
+    elif scheme_type == "openIdConnect":
+        headers[header_name] = _apply_bearer(value)
+    elif scheme_type == "oauth2":
+        if sub_type != "client_credentials":
+            headers[header_name] = _apply_bearer(value)
+    elif scheme_type == "http":
+        if sub_type == "bearer":
+            headers[header_name] = _apply_bearer(value)
+        elif sub_type == "custom":
+            return
+        else:
+            raise ValueError("sub type {sub_type} not supported")
+    else:
+        raise ValueError("scheme type {scheme_type} not supported")
+
+
+def _apply_bearer(token: str) -> str:
+    return token.lower().startswith("bearer ") and token or f"Bearer {token}"
+
+
+def _parse_basic_auth_scheme(headers: Dict[str, str], scheme: Any):
+    username = ""
+    password = ""
+
+    if not isinstance(scheme, BaseModel):
+        raise TypeError("basic auth scheme must be a pydantic model")
+
+    scheme_fields: Dict[str, FieldInfo] = scheme.__class__.model_fields
+    for name in scheme_fields:
+        scheme_field = scheme_fields[name]
+
+        metadata = find_field_metadata(scheme_field, SecurityMetadata)
+        if metadata is None or metadata.field_name is None:
+            continue
+
+        field_name = metadata.field_name
+        value = getattr(scheme, name)
+
+        if field_name == "username":
+            username = value
+        if field_name == "password":
+            password = value
+
+    data = f"{username}:{password}".encode()
+    headers["Authorization"] = f"Basic {base64.b64encode(data).decode()}"

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/serializers.py

@@ -0,0 +1,249 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from decimal import Decimal
+import functools
+import json
+import typing
+from typing import Any, Dict, List, Tuple, Union, get_args
+import typing_extensions
+from typing_extensions import get_origin
+
+import httpx
+from pydantic import ConfigDict, create_model
+from pydantic_core import from_json
+
+from ..types.basemodel import BaseModel, Nullable, OptionalNullable, Unset
+
+
+def serialize_decimal(as_str: bool):
+    def serialize(d):
+        # Optional[T] is a Union[T, None]
+        if is_union(type(d)) and type(None) in get_args(type(d)) and d is None:
+            return None
+        if isinstance(d, Unset):
+            return d
+
+        if not isinstance(d, Decimal):
+            raise ValueError("Expected Decimal object")
+
+        return str(d) if as_str else float(d)
+
+    return serialize
+
+
+def validate_decimal(d):
+    if d is None:
+        return None
+
+    if isinstance(d, (Decimal, Unset)):
+        return d
+
+    if not isinstance(d, (str, int, float)):
+        raise ValueError("Expected string, int or float")
+
+    return Decimal(str(d))
+
+
+def serialize_float(as_str: bool):
+    def serialize(f):
+        # Optional[T] is a Union[T, None]
+        if is_union(type(f)) and type(None) in get_args(type(f)) and f is None:
+            return None
+        if isinstance(f, Unset):
+            return f
+
+        if not isinstance(f, float):
+            raise ValueError("Expected float")
+
+        return str(f) if as_str else f
+
+    return serialize
+
+
+def validate_float(f):
+    if f is None:
+        return None
+
+    if isinstance(f, (float, Unset)):
+        return f
+
+    if not isinstance(f, str):
+        raise ValueError("Expected string")
+
+    return float(f)
+
+
+def serialize_int(as_str: bool):
+    def serialize(i):
+        # Optional[T] is a Union[T, None]
+        if is_union(type(i)) and type(None) in get_args(type(i)) and i is None:
+            return None
+        if isinstance(i, Unset):
+            return i
+
+        if not isinstance(i, int):
+            raise ValueError("Expected int")
+
+        return str(i) if as_str else i
+
+    return serialize
+
+
+def validate_int(b):
+    if b is None:
+        return None
+
+    if isinstance(b, (int, Unset)):
+        return b
+
+    if not isinstance(b, str):
+        raise ValueError("Expected string")
+
+    return int(b)
+
+
+def validate_open_enum(is_int: bool):
+    def validate(e):
+        if e is None:
+            return None
+
+        if isinstance(e, Unset):
+            return e
+
+        if is_int:
+            if not isinstance(e, int):
+                raise ValueError("Expected int")
+        else:
+            if not isinstance(e, str):
+                raise ValueError("Expected string")
+
+        return e
+
+    return validate
+
+
+def validate_const(v):
+    def validate(c):
+        # Optional[T] is a Union[T, None]
+        if is_union(type(c)) and type(None) in get_args(type(c)) and c is None:
+            return None
+
+        if v != c:
+            raise ValueError(f"Expected {v}")
+
+        return c
+
+    return validate
+
+
+def unmarshal_json(raw, typ: Any) -> Any:
+    return unmarshal(from_json(raw), typ)
+
+
+def unmarshal(val, typ: Any) -> Any:
+    unmarshaller = create_model(
+        "Unmarshaller",
+        body=(typ, ...),
+        __config__=ConfigDict(populate_by_name=True, arbitrary_types_allowed=True),
+    )
+
+    m = unmarshaller(body=val)
+
+    # pyright: ignore[reportAttributeAccessIssue]
+    return m.body  # type: ignore
+
+
+def marshal_json(val, typ):
+    if is_nullable(typ) and val is None:
+        return "null"
+
+    marshaller = create_model(
+        "Marshaller",
+        body=(typ, ...),
+        __config__=ConfigDict(populate_by_name=True, arbitrary_types_allowed=True),
+    )
+
+    m = marshaller(body=val)
+
+    d = m.model_dump(by_alias=True, mode="json", exclude_none=True)
+
+    if len(d) == 0:
+        return ""
+
+    return json.dumps(d[next(iter(d))], separators=(",", ":"))
+
+
+def is_nullable(field):
+    origin = get_origin(field)
+    if origin is Nullable or origin is OptionalNullable:
+        return True
+
+    if not origin is Union or type(None) not in get_args(field):
+        return False
+
+    for arg in get_args(field):
+        if get_origin(arg) is Nullable or get_origin(arg) is OptionalNullable:
+            return True
+
+    return False
+
+
+def is_union(obj: object) -> bool:
+    """
+    Returns True if the given object is a typing.Union or typing_extensions.Union.
+    """
+    return any(
+        obj is typing_obj for typing_obj in _get_typing_objects_by_name_of("Union")
+    )
+
+
+def stream_to_text(stream: httpx.Response) -> str:
+    return "".join(stream.iter_text())
+
+
+async def stream_to_text_async(stream: httpx.Response) -> str:
+    return "".join([chunk async for chunk in stream.aiter_text()])
+
+
+def stream_to_bytes(stream: httpx.Response) -> bytes:
+    return stream.content
+
+
+async def stream_to_bytes_async(stream: httpx.Response) -> bytes:
+    return await stream.aread()
+
+
+def get_pydantic_model(data: Any, typ: Any) -> Any:
+    if not _contains_pydantic_model(data):
+        return unmarshal(data, typ)
+
+    return data
+
+
+def _contains_pydantic_model(data: Any) -> bool:
+    if isinstance(data, BaseModel):
+        return True
+    if isinstance(data, List):
+        return any(_contains_pydantic_model(item) for item in data)
+    if isinstance(data, Dict):
+        return any(_contains_pydantic_model(value) for value in data.values())
+
+    return False
+
+
+@functools.cache
+def _get_typing_objects_by_name_of(name: str) -> Tuple[Any, ...]:
+    """
+    Get typing objects by name from typing and typing_extensions.
+    Reference: https://typing-extensions.readthedocs.io/en/latest/#runtime-use-of-types
+    """
+    result = tuple(
+        getattr(module, name)
+        for module in (typing, typing_extensions)
+        if hasattr(module, name)
+    )
+    if not result:
+        raise ValueError(
+            f"Neither typing nor typing_extensions has an object called {name!r}"
+        )
+    return result

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/unmarshal_json_response.py

@@ -0,0 +1,24 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from typing import Any, Optional
+
+import httpx
+
+from .serializers import unmarshal_json
+from unstructured_client.models import errors
+
+
+def unmarshal_json_response(
+    typ: Any, http_res: httpx.Response, body: Optional[str] = None
+) -> Any:
+    if body is None:
+        body = http_res.text
+    try:
+        return unmarshal_json(body, typ)
+    except Exception as e:
+        raise errors.ResponseValidationError(
+            "Response validation failed",
+            http_res,
+            e,
+            body,
+        ) from e

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/url.py

@@ -0,0 +1,155 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from decimal import Decimal
+from typing import (
+    Any,
+    Dict,
+    get_type_hints,
+    List,
+    Optional,
+    Union,
+    get_args,
+    get_origin,
+)
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from .metadata import (
+    PathParamMetadata,
+    find_field_metadata,
+)
+from .values import (
+    _get_serialized_params,
+    _is_set,
+    _populate_from_globals,
+    _val_to_string,
+)
+
+
+def generate_url(
+    server_url: str,
+    path: str,
+    path_params: Any,
+    gbls: Optional[Any] = None,
+) -> str:
+    path_param_values: Dict[str, str] = {}
+
+    globals_already_populated = _populate_path_params(
+        path_params, gbls, path_param_values, []
+    )
+    if _is_set(gbls):
+        _populate_path_params(gbls, None, path_param_values, globals_already_populated)
+
+    for key, value in path_param_values.items():
+        path = path.replace("{" + key + "}", value, 1)
+
+    return remove_suffix(server_url, "/") + path
+
+
+def _populate_path_params(
+    path_params: Any,
+    gbls: Any,
+    path_param_values: Dict[str, str],
+    skip_fields: List[str],
+) -> List[str]:
+    globals_already_populated: List[str] = []
+
+    if not isinstance(path_params, BaseModel):
+        return globals_already_populated
+
+    path_param_fields: Dict[str, FieldInfo] = path_params.__class__.model_fields
+    path_param_field_types = get_type_hints(path_params.__class__)
+    for name in path_param_fields:
+        if name in skip_fields:
+            continue
+
+        field = path_param_fields[name]
+
+        param_metadata = find_field_metadata(field, PathParamMetadata)
+        if param_metadata is None:
+            continue
+
+        param = getattr(path_params, name) if _is_set(path_params) else None
+        param, global_found = _populate_from_globals(
+            name, param, PathParamMetadata, gbls
+        )
+        if global_found:
+            globals_already_populated.append(name)
+
+        if not _is_set(param):
+            continue
+
+        f_name = field.alias if field.alias is not None else name
+        serialization = param_metadata.serialization
+        if serialization is not None:
+            serialized_params = _get_serialized_params(
+                param_metadata, f_name, param, path_param_field_types[name]
+            )
+            for key, value in serialized_params.items():
+                path_param_values[key] = value
+        else:
+            pp_vals: List[str] = []
+            if param_metadata.style == "simple":
+                if isinstance(param, List):
+                    for pp_val in param:
+                        if not _is_set(pp_val):
+                            continue
+                        pp_vals.append(_val_to_string(pp_val))
+                    path_param_values[f_name] = ",".join(pp_vals)
+                elif isinstance(param, Dict):
+                    for pp_key in param:
+                        if not _is_set(param[pp_key]):
+                            continue
+                        if param_metadata.explode:
+                            pp_vals.append(f"{pp_key}={_val_to_string(param[pp_key])}")
+                        else:
+                            pp_vals.append(f"{pp_key},{_val_to_string(param[pp_key])}")
+                    path_param_values[f_name] = ",".join(pp_vals)
+                elif not isinstance(param, (str, int, float, complex, bool, Decimal)):
+                    param_fields: Dict[str, FieldInfo] = param.__class__.model_fields
+                    for name in param_fields:
+                        param_field = param_fields[name]
+
+                        param_value_metadata = find_field_metadata(
+                            param_field, PathParamMetadata
+                        )
+                        if param_value_metadata is None:
+                            continue
+
+                        param_name = (
+                            param_field.alias if param_field.alias is not None else name
+                        )
+
+                        param_field_val = getattr(param, name)
+                        if not _is_set(param_field_val):
+                            continue
+                        if param_metadata.explode:
+                            pp_vals.append(
+                                f"{param_name}={_val_to_string(param_field_val)}"
+                            )
+                        else:
+                            pp_vals.append(
+                                f"{param_name},{_val_to_string(param_field_val)}"
+                            )
+                    path_param_values[f_name] = ",".join(pp_vals)
+                elif _is_set(param):
+                    path_param_values[f_name] = _val_to_string(param)
+
+    return globals_already_populated
+
+
+def is_optional(field):
+    return get_origin(field) is Union and type(None) in get_args(field)
+
+
+def template_url(url_with_params: str, params: Dict[str, str]) -> str:
+    for key, value in params.items():
+        url_with_params = url_with_params.replace("{" + key + "}", value)
+
+    return url_with_params
+
+
+def remove_suffix(input_string, suffix):
+    if suffix and input_string.endswith(suffix):
+        return input_string[: -len(suffix)]
+    return input_string

backend_service/venv/lib/python3.13/site-packages/unstructured_client/utils/values.py

@@ -0,0 +1,137 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from datetime import datetime
+from enum import Enum
+from email.message import Message
+from functools import partial
+import os
+from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar, Union, cast
+
+from httpx import Response
+from pydantic import BaseModel
+from pydantic.fields import FieldInfo
+
+from ..types.basemodel import Unset
+
+from .serializers import marshal_json
+
+from .metadata import ParamMetadata, find_field_metadata
+
+
+def match_content_type(content_type: str, pattern: str) -> bool:
+    if pattern in (content_type, "*", "*/*"):
+        return True
+
+    msg = Message()
+    msg["content-type"] = content_type
+    media_type = msg.get_content_type()
+
+    if media_type == pattern:
+        return True
+
+    parts = media_type.split("/")
+    if len(parts) == 2:
+        if pattern in (f"{parts[0]}/*", f"*/{parts[1]}"):
+            return True
+
+    return False
+
+
+def match_status_codes(status_codes: List[str], status_code: int) -> bool:
+    if "default" in status_codes:
+        return True
+
+    for code in status_codes:
+        if code == str(status_code):
+            return True
+
+        if code.endswith("XX") and code.startswith(str(status_code)[:1]):
+            return True
+    return False
+
+
+T = TypeVar("T")
+
+def cast_partial(typ):
+    return partial(cast, typ)
+
+def get_global_from_env(
+    value: Optional[T], env_key: str, type_cast: Callable[[str], T]
+) -> Optional[T]:
+    if value is not None:
+        return value
+    env_value = os.getenv(env_key)
+    if env_value is not None:
+        try:
+            return type_cast(env_value)
+        except ValueError:
+            pass
+    return None
+
+
+def match_response(
+    response: Response, code: Union[str, List[str]], content_type: str
+) -> bool:
+    codes = code if isinstance(code, list) else [code]
+    return match_status_codes(codes, response.status_code) and match_content_type(
+        response.headers.get("content-type", "application/octet-stream"), content_type
+    )
+
+
+def _populate_from_globals(
+    param_name: str, value: Any, param_metadata_type: type, gbls: Any
+) -> Tuple[Any, bool]:
+    if gbls is None:
+        return value, False
+
+    if not isinstance(gbls, BaseModel):
+        raise TypeError("globals must be a pydantic model")
+
+    global_fields: Dict[str, FieldInfo] = gbls.__class__.model_fields
+    found = False
+    for name in global_fields:
+        field = global_fields[name]
+        if name is not param_name:
+            continue
+
+        found = True
+
+        if value is not None:
+            return value, True
+
+        global_value = getattr(gbls, name)
+
+        param_metadata = find_field_metadata(field, param_metadata_type)
+        if param_metadata is None:
+            return value, True
+
+        return global_value, True
+
+    return value, found
+
+
+def _val_to_string(val) -> str:
+    if isinstance(val, bool):
+        return str(val).lower()
+    if isinstance(val, datetime):
+        return str(val.isoformat().replace("+00:00", "Z"))
+    if isinstance(val, Enum):
+        return str(val.value)
+
+    return str(val)
+
+
+def _get_serialized_params(
+    metadata: ParamMetadata, field_name: str, obj: Any, typ: type
+) -> Dict[str, str]:
+    params: Dict[str, str] = {}
+
+    serialization = metadata.serialization
+    if serialization == "json":
+        params[field_name] = marshal_json(obj, typ)
+
+    return params
+
+
+def _is_set(value: Any) -> bool:
+    return value is not None and not isinstance(value, Unset)