phase 17: remove embedded JSON schema from user prompt (4.7KB saved), Ollama format param handles it
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@@ -8,7 +8,6 @@ Requirements: 5.1, 5.2, 5.3, 5.4, 5.5
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"""
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from __future__ import annotations
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import json
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from typing import Any
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from services.extractor.schemas import SCHEMA_VERSION, generate_json_schema
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@@ -110,8 +109,6 @@ def build_extraction_prompt(
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"Use your judgment — but only include companies where the connection is clear from the text."
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)
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schema_str = json.dumps(EXTRACTION_JSON_SCHEMA, indent=2)
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doc_id_line = f"Document ID: {document_id}\n" if document_id else ""
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user_prompt = f"""\
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@@ -120,8 +117,7 @@ Extract structured intelligence from the following document.
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{doc_id_line}Document type: {document_type}
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{doctype_guidance}
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{ticker_hint}
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Your output MUST be a single JSON object conforming to this schema:
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{schema_str}
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Return a JSON object with: summary, companies (array with ticker, company_name, relevance, sentiment, impact_score, impact_horizon, catalyst_type, key_facts, risks, evidence_spans), macro_themes, novelty_score, confidence, extraction_warnings.
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REMEMBER:
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- Only extract what is explicitly in the text below.
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