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Add media description feature using Azure Content Understanding (Azur…
…e-Samples#2195) * First pass * CU kinda working * CU integration * Better splitting * Add Bicep * Rm unneeded figures * Remove en-us from URLs * Fix URLs * Remote figures output JSON * Update matrix comments * Make mypy happy * Add same errors to file strategy * Add pymupdf to skip modules for mypy * Output the endpoint from Bicep * 100 percent coverage for mediadescriber.py * Tests added for PDFParser * Fix that tuple type * Add pricing link * Fix content read issue
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,107 @@ | ||
| import logging | ||
| from abc import ABC | ||
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| import aiohttp | ||
| from azure.core.credentials_async import AsyncTokenCredential | ||
| from azure.identity.aio import get_bearer_token_provider | ||
| from rich.progress import Progress | ||
| from tenacity import retry, retry_if_exception_type, stop_after_attempt, wait_fixed | ||
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| logger = logging.getLogger("scripts") | ||
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| class MediaDescriber(ABC): | ||
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| async def describe_image(self, image_bytes) -> str: | ||
| raise NotImplementedError # pragma: no cover | ||
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| class ContentUnderstandingDescriber: | ||
| CU_API_VERSION = "2024-12-01-preview" | ||
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| analyzer_schema = { | ||
| "analyzerId": "image_analyzer", | ||
| "name": "Image understanding", | ||
| "description": "Extract detailed structured information from images extracted from documents.", | ||
| "baseAnalyzerId": "prebuilt-image", | ||
| "scenario": "image", | ||
| "config": {"returnDetails": False}, | ||
| "fieldSchema": { | ||
| "name": "ImageInformation", | ||
| "descriptions": "Description of image.", | ||
| "fields": { | ||
| "Description": { | ||
| "type": "string", | ||
| "description": "Description of the image. If the image has a title, start with the title. Include a 2-sentence summary. If the image is a chart, diagram, or table, include the underlying data in an HTML table tag, with accurate numbers. If the image is a chart, describe any axis or legends. The only allowed HTML tags are the table/thead/tr/td/tbody tags.", | ||
| }, | ||
| }, | ||
| }, | ||
| } | ||
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| def __init__(self, endpoint: str, credential: AsyncTokenCredential): | ||
| self.endpoint = endpoint | ||
| self.credential = credential | ||
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| async def poll_api(self, session, poll_url, headers): | ||
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| @retry(stop=stop_after_attempt(60), wait=wait_fixed(2), retry=retry_if_exception_type(ValueError)) | ||
| async def poll(): | ||
| async with session.get(poll_url, headers=headers) as response: | ||
| response.raise_for_status() | ||
| response_json = await response.json() | ||
| if response_json["status"] == "Failed": | ||
| raise Exception("Failed") | ||
| if response_json["status"] == "Running": | ||
| raise ValueError("Running") | ||
| return response_json | ||
|
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| return await poll() | ||
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| async def create_analyzer(self): | ||
| logger.info("Creating analyzer '%s'...", self.analyzer_schema["analyzerId"]) | ||
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| token_provider = get_bearer_token_provider(self.credential, "https://cognitiveservices.azure.com/.default") | ||
| token = await token_provider() | ||
| headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"} | ||
| params = {"api-version": self.CU_API_VERSION} | ||
| analyzer_id = self.analyzer_schema["analyzerId"] | ||
| cu_endpoint = f"{self.endpoint}/contentunderstanding/analyzers/{analyzer_id}" | ||
| async with aiohttp.ClientSession() as session: | ||
| async with session.put( | ||
| url=cu_endpoint, params=params, headers=headers, json=self.analyzer_schema | ||
| ) as response: | ||
| if response.status == 409: | ||
| logger.info("Analyzer '%s' already exists.", analyzer_id) | ||
| return | ||
| elif response.status != 201: | ||
| data = await response.text() | ||
| raise Exception("Error creating analyzer", data) | ||
| else: | ||
| poll_url = response.headers.get("Operation-Location") | ||
|
|
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| with Progress() as progress: | ||
| progress.add_task("Creating analyzer...", total=None, start=False) | ||
| await self.poll_api(session, poll_url, headers) | ||
|
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| async def describe_image(self, image_bytes: bytes) -> str: | ||
| logger.info("Sending image to Azure Content Understanding service...") | ||
| async with aiohttp.ClientSession() as session: | ||
| token = await self.credential.get_token("https://cognitiveservices.azure.com/.default") | ||
| headers = {"Authorization": "Bearer " + token.token} | ||
| params = {"api-version": self.CU_API_VERSION} | ||
| analyzer_name = self.analyzer_schema["analyzerId"] | ||
| async with session.post( | ||
| url=f"{self.endpoint}/contentunderstanding/analyzers/{analyzer_name}:analyze", | ||
| params=params, | ||
| headers=headers, | ||
| data=image_bytes, | ||
| ) as response: | ||
| response.raise_for_status() | ||
| poll_url = response.headers["Operation-Location"] | ||
|
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| with Progress() as progress: | ||
| progress.add_task("Processing...", total=None, start=False) | ||
| results = await self.poll_api(session, poll_url, headers) | ||
|
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| fields = results["result"]["contents"][0]["fields"] | ||
| return fields["Description"]["valueString"] |
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