Files
arc53--docsgpt/application/api/answer/services/prompt_renderer.py
T
wehub-resource-sync fed8b2eed7
Build and push multi-arch DocsGPT Docker image / build (linux/amd64, ubuntu-latest, amd64) (push) Has been cancelled
Backend release / release (push) Has been cancelled
Bandit Security Scan / bandit_scan (push) Has been cancelled
Build and push multi-arch DocsGPT Docker image / build (linux/arm64, ubuntu-24.04-arm, arm64) (push) Has been cancelled
Build and push multi-arch DocsGPT Docker image / manifest (push) Has been cancelled
Build and push DocsGPT FE Docker image for development / build (linux/amd64, ubuntu-latest, amd64) (push) Has been cancelled
Build and push DocsGPT FE Docker image for development / build (linux/arm64, ubuntu-24.04-arm, arm64) (push) Has been cancelled
Build and push DocsGPT FE Docker image for development / manifest (push) Has been cancelled
Python linting / ruff (push) Has been cancelled
Run python tests with pytest / Run tests and count coverage (3.12) (push) Has been cancelled
React Widget Build / build (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:28:29 +08:00

119 lines
4.2 KiB
Python

import logging
from typing import Any, Dict, Optional
from application.templates.namespaces import NamespaceManager
from application.templates.template_engine import TemplateEngine, TemplateRenderError
logger = logging.getLogger(__name__)
def format_docs_for_prompt(docs: Optional[list]) -> Optional[str]:
"""Format retrieved chunks as XML-tagged documents for prompt injection.
Each chunk is wrapped in a ``<document index="n">`` block with a
``<source>`` subtag (when a filename/title is known) so the model can
tell chunks apart and cite them by name.
"""
if not docs:
return None
parts = []
for i, doc in enumerate(docs, start=1):
source = doc.get("filename") or doc.get("title") or doc.get("source")
lines = [f'<document index="{i}">']
if source:
lines.append(f"<source>{source}</source>")
lines.append(f"<content>\n{doc.get('text', '')}\n</content>")
lines.append("</document>")
parts.append("\n".join(lines))
return "\n\n".join(parts)
class PromptRenderer:
"""Service for rendering prompts with dynamic context using namespaces"""
def __init__(self):
self.template_engine = TemplateEngine()
self.namespace_manager = NamespaceManager()
def render_prompt(
self,
prompt_content: str,
user_id: Optional[str] = None,
request_id: Optional[str] = None,
passthrough_data: Optional[Dict[str, Any]] = None,
docs: Optional[list] = None,
docs_together: Optional[str] = None,
tools_data: Optional[Dict[str, Any]] = None,
**kwargs,
) -> str:
"""
Render prompt with full context from all namespaces.
Args:
prompt_content: Raw prompt template string
user_id: Current user identifier
request_id: Unique request identifier
passthrough_data: Parameters from web request
docs: RAG retrieved documents
docs_together: Concatenated document content
tools_data: Pre-fetched tool results organized by tool name
**kwargs: Additional parameters for namespace builders
Returns:
Rendered prompt string with all variables substituted
Raises:
TemplateRenderError: If template rendering fails
"""
if not prompt_content:
return ""
uses_template = self._uses_template_syntax(prompt_content)
if not uses_template:
return self._apply_legacy_substitutions(prompt_content, docs_together)
try:
context = self.namespace_manager.build_context(
user_id=user_id,
request_id=request_id,
passthrough_data=passthrough_data,
docs=docs,
docs_together=docs_together,
tools_data=tools_data,
**kwargs,
)
return self.template_engine.render(prompt_content, context)
except TemplateRenderError:
raise
except Exception as e:
error_msg = f"Prompt rendering failed: {str(e)}"
logger.error(error_msg)
raise TemplateRenderError(error_msg) from e
def _uses_template_syntax(self, prompt_content: str) -> bool:
"""Check if prompt uses Jinja2 template syntax"""
return "{{" in prompt_content and "}}" in prompt_content
def _apply_legacy_substitutions(
self, prompt_content: str, docs_together: Optional[str] = None
) -> str:
"""
Apply backward-compatible substitutions for old prompt format.
Handles the legacy {summaries} placeholder. When no documents were
retrieved the placeholder is removed so the model never sees the
raw template artifact.
"""
return prompt_content.replace("{summaries}", docs_together or "")
def validate_template(self, prompt_content: str) -> bool:
"""Validate prompt template syntax"""
return self.template_engine.validate_template(prompt_content)
def extract_variables(self, prompt_content: str) -> set[str]:
"""Extract all variable names from prompt template"""
return self.template_engine.extract_variables(prompt_content)