diff --git a/agent.py b/agent.py index ea75de1..7605d64 100644 --- a/agent.py +++ b/agent.py @@ -1,189 +1,583 @@ -"""quote-judge-studio-v1 agent. +"""QuoteJudge Studio full-stack A2A agent. -Starter stack: - - DeepAgents for tool-calling orchestration - - Caller-provided LLM credentials via ctx.llm - - A tiny model-call middleware hook you can replace with tracing, - routing, rate limits, or policy checks +Deterministic product backend for comparing vendor quotes with weighted price, +delivery, and warranty scoring. The packed React frontend calls these same +public tools, and external clients retain typed FileUpload support. """ from __future__ import annotations +import base64 +import csv +import hashlib +import io import json -from pathlib import Path -from typing import Any +import os +import re +import uuid +from datetime import datetime, timezone +from decimal import Decimal, ROUND_HALF_UP +from typing import Annotated, Any -from pydantic import BaseModel +from pydantic import BaseModel, Field, field_validator import a2a_pack as a2a from a2a_pack import ( A2AAgent, - LLMProvisioning, - {{ auth_type }}, + AgentDatabase, + AgentDatabaseEnv, + AgentDatabaseMigrations, + AgentPlatformResources, + FileUpload, + PlatformUserAuth, Pricing, + Resources, RunContext, + State, + UploadedFile, WorkspaceAccess, WorkspaceMode, ) -from a2a_pack.context import LLMCreds + +MAX_BROWSER_UPLOAD_BYTES = 256_000 +MAX_BROWSER_UPLOADS = 4 +ALLOWED_UPLOAD_MEDIA_TYPES = { + "application/json", + "text/csv", + "text/plain", + "application/vnd.ms-excel", +} + +_MEMORY_COMPARISONS: dict[tuple[str, str], dict[str, Any]] = {} +_MEMORY_RECEIPTS: list[dict[str, Any]] = [] class QuoteJudgeStudioV1Config(BaseModel): - pass + """No user-configurable settings; all state is tenant-scoped by platform auth.""" -SYSTEM_PROMPT = """\ -You are a compact tool-calling agent. +class QuoteInput(BaseModel): + vendor: str = Field(..., min_length=1, max_length=120) + unit_price: float = Field(..., gt=0, le=1_000_000) + quantity: int = Field(..., gt=0, le=100_000_000) + delivery_days: int = Field(..., ge=0, le=3650) + warranty_months: int = Field(..., ge=0, le=600) + currency: str = Field(default="BRL", min_length=3, max_length=8) -Use the text_stats tool when the user asks about text, counts, summaries, -or anything where exact length/word numbers would help. Mention tool results -briefly instead of dumping raw JSON. -""" - -RUNTIME_SKILLS_DIR = "quote-judge-studio-v1/.deepagents/skills/" -DEEPAGENTS_RECURSION_LIMIT = 500 + @field_validator("vendor", "currency") + @classmethod + def _clean_text(cls, value: str) -> str: + return " ".join(str(value).strip().split()) -class QuoteJudgeStudioV1(A2AAgent[QuoteJudgeStudioV1Config, {{ auth_type }}]): +class WeightInput(BaseModel): + price: float = Field(..., ge=0, le=100) + delivery: float = Field(..., ge=0, le=100) + warranty: float = Field(..., ge=0, le=100) + + +class BrowserQuoteDocument(BaseModel): + filename: str = Field(..., min_length=1, max_length=160) + media_type: str = Field(..., min_length=3, max_length=120) + data_base64: str = Field(..., min_length=1) + + @field_validator("filename") + @classmethod + def _safe_filename(cls, value: str) -> str: + cleaned = str(value).replace("\\", "/").split("/")[-1].strip() + if not cleaned or cleaned in {".", ".."}: + raise ValueError("filename must be a simple file name") + return cleaned + + +class ValidationIssue(BaseModel): + code: str + message: str + field: str | None = None + action: str | None = None + + +class QuoteJudgeStudioV1(A2AAgent[QuoteJudgeStudioV1Config, PlatformUserAuth]): name = "quote-judge-studio-v1" - description = "One-page QuoteJudge studio for comparing vendor quotes with weighted price, delivery, and warranty scoring, persistent results, uploads, and production receipts." - version = "0.1.0" + description = ( + "Compare at least two vendor quotes with price, delivery, and warranty " + "weights; persist results; reopen prior comparisons; accept browser " + "base64 uploads and typed FileUpload inputs; and persist execution receipts." + ) + version = "0.1.1" config_model = QuoteJudgeStudioV1Config - auth_model = {{ auth_type }} + auth_model = PlatformUserAuth - # Hosted generated agents read the caller's saved LLM credential through - # ctx.llm. The platform may proxy that credential through LiteLLM, but agent - # code never reads provider keys, LiteLLM master keys, or OPENAI_API_KEY - # directly. - llm_provisioning = LLMProvisioning.PLATFORM + state = State.DURABLE + resources = Resources(cpu="500m", memory="512Mi", max_runtime_seconds=120) pricing = Pricing( price_per_call_usd=0.0, - caller_pays_llm=True, - notes="Starter agent uses the caller's saved LLM credential via ctx.llm.", + caller_pays_llm=False, + notes="Deterministic quote scoring; no LLM credential required.", ) workspace_access = WorkspaceAccess.dynamic( - max_files=64, + max_files=8, allowed_modes=(WorkspaceMode.READ_ONLY, WorkspaceMode.READ_WRITE_OVERLAY), require_reason=False, + max_total_size_bytes=2_000_000, ) - tools_used = ("deepagents", "langchain") - - @a2a.tool(description="Ask the starter DeepAgent to answer with tool calls when useful") - async def ask(self, ctx: RunContext[{{ auth_type }}], prompt: str) -> str: - creds = ctx.llm - await ctx.emit_progress(f"llm: {creds.model} via {creds.source}") - if not creds.api_key: - return ( - "LLM key required. Add an LLM credential in Settings > LLM " - "credentials before running this agent; for local --invoke " - "runs set AGENT_LLM_KEY." - ) - graph = self._build_deep_agent(ctx=ctx, creds=creds) - state = await graph.ainvoke( - {"messages": [{"role": "user", "content": prompt}]}, - config={"recursion_limit": DEEPAGENTS_RECURSION_LIMIT}, + tools_used = ("postgres", "mcp", "file-upload") + platform_resources = AgentPlatformResources( + databases=( + AgentDatabase( + name="quote-judge-studio-v1-data", + provider="neon", + engine="postgres", + scope="user", + branch="main", + access_mode="read_write", + env=AgentDatabaseEnv(url="DATABASE_URL"), + migrations=AgentDatabaseMigrations(path="db/migrations"), + scale_to_zero=True, + ), ) - await ctx.emit_progress("deepagent finished") - return _last_message_text(state) + ) - def _build_deep_agent( + @a2a.tool( + description="Compare vendor quotes with price/delivery/warranty weights and persist the result plus a production receipt.", + timeout_seconds=60, + idempotent=True, + cost_class="deterministic", + ) + async def compare_quotes( self, - *, - ctx: RunContext[{{ auth_type }}], - creds: LLMCreds, - ) -> Any: - # Lazy imports keep `a2a card` usable before local dependencies are - # installed. `a2a deploy` installs requirements.txt during the build. - from a2a_pack.deepagents import create_a2a_deep_agent - from langchain.agents.middleware import wrap_model_call - from langchain_core.tools import tool + ctx: RunContext[PlatformUserAuth], + comparison_id: str, + quotes: list[QuoteInput], + weights: WeightInput, + ) -> dict[str, Any]: + tenant = _tenant_key(ctx) + issues = _validate_request(comparison_id, quotes, weights) + if issues: + result = _validation_result(comparison_id, issues) + await _persist_receipt(ctx, tenant, comparison_id, "compare_quotes", result, {"comparison_id": comparison_id, "quotes": [q.model_dump() for q in quotes], "weights": weights.model_dump()}) + return result - @tool - def text_stats(text: str) -> str: - """Return exact word, character, and line counts for text.""" - words = [part for part in text.split() if part.strip()] - return json.dumps( - { - "characters": len(text), - "words": len(words), - "lines": len(text.splitlines()) or 1, - } - ) - - @wrap_model_call - async def log_model_call(request: Any, handler: Any) -> Any: - messages = request.state.get("messages", []) - print( - "[middleware] model_call " - f"model={creds.model} source={creds.source} messages={len(messages)}" - ) - return await handler(request) - - backend = ctx.workspace_backend() - skill_sources = _seed_runtime_skills(backend, ctx) - # create_a2a_deep_agent resolves provider:model strings with - # langchain.init_chat_model from ctx.llm, preserving LiteLLM routing, - # provider-specific extra body, and runtime model overrides. - return create_a2a_deep_agent( + result = _score_quotes(comparison_id, quotes, weights) + result["receipt"] = await _persist_receipt( ctx, - creds=creds, - backend=backend, - skills=skill_sources or None, - tools=[text_stats], - middleware=[log_model_call], - system_prompt=SYSTEM_PROMPT, + tenant, + comparison_id, + "compare_quotes", + result, + {"comparison_id": comparison_id, "quotes": [q.model_dump() for q in quotes], "weights": weights.model_dump()}, ) + await _save_comparison(tenant, comparison_id, result) + await ctx.emit_progress(f"saved comparison {comparison_id}: {result['recommendation']['vendor']}") + return result + + @a2a.tool( + description="Reopen a persisted QuoteJudge comparison by id for the authenticated user.", + timeout_seconds=30, + idempotent=True, + cost_class="deterministic", + ) + async def get_comparison( + self, + ctx: RunContext[PlatformUserAuth], + comparison_id: str, + ) -> dict[str, Any]: + tenant = _tenant_key(ctx) + if not _valid_comparison_id(comparison_id): + return _validation_result( + comparison_id, + [ValidationIssue(code="invalid_comparison_id", message="comparison_id must contain only letters, numbers, dot, underscore, or hyphen.", field="comparison_id", action="Use a stable id such as studio-quote-v1.")], + ) + result = await _load_comparison(tenant, comparison_id) + if result is None: + return { + "ok": False, + "code": "comparison_not_found", + "comparison_id": comparison_id, + "message": "No saved comparison exists for this signed-in user and id.", + "action": "Run compare_quotes or upload/paste at least two quotes first.", + } + result = dict(result) + result["receipt"] = await _persist_receipt( + ctx, + tenant, + comparison_id, + "get_comparison", + result, + {"comparison_id": comparison_id}, + ) + return result + + @a2a.tool( + description="Browser-safe upload bridge: parse bounded base64 JSON/CSV/text quote files, compare, persist, and return a receipt.", + timeout_seconds=60, + idempotent=True, + cost_class="deterministic", + ) + async def compare_uploaded_quotes_browser( + self, + ctx: RunContext[PlatformUserAuth], + comparison_id: str, + documents: list[BrowserQuoteDocument], + weights: WeightInput, + ) -> dict[str, Any]: + parsed = _parse_browser_documents(documents) + if not parsed["ok"]: + return _validation_result(comparison_id, parsed["issues"]) + return await self.compare_quotes(ctx, comparison_id, parsed["quotes"], weights) + + @a2a.tool( + description="Compatibility FileUpload entrypoint for external clients; parses an uploaded quote file and compares/persists results.", + timeout_seconds=60, + idempotent=True, + cost_class="deterministic", + ) + async def compare_uploaded_quote_file( + self, + ctx: RunContext[PlatformUserAuth], + comparison_id: str, + quote_file: Annotated[ + UploadedFile, + FileUpload( + accept=("application/json", "text/csv", "text/plain"), + max_bytes=MAX_BROWSER_UPLOAD_BYTES, + description="JSON array/object, CSV, or line-oriented quote text with vendor/unit_price/quantity/delivery_days/warranty_months.", + ), + ], + weights: WeightInput, + ) -> dict[str, Any]: + issues = _validate_uploaded_file_meta(quote_file.filename, quote_file.media_type, quote_file.size_bytes) + if issues: + return _validation_result(comparison_id, issues) + try: + data = ctx.workspace.read_bytes(quote_file.path) # concrete runtime clients expose this helper + except Exception as exc: # noqa: BLE001 + return _validation_result( + comparison_id, + [ValidationIssue(code="upload_read_failed", message="The uploaded file could not be read from the invocation workspace.", field="quote_file", action=f"Re-upload the file and ensure it is below {MAX_BROWSER_UPLOAD_BYTES} bytes.")], + ) + parsed = _parse_document_bytes(quote_file.filename, quote_file.media_type, data) + if not parsed["ok"]: + return _validation_result(comparison_id, parsed["issues"]) + return await self.compare_quotes(ctx, comparison_id, parsed["quotes"], weights) -def _runtime_skills_root(ctx: RunContext[Any]) -> str: - workspace = getattr(ctx, "_workspace", None) - prefixes = tuple(getattr(workspace, "write_prefixes", ()) or ()) - if not prefixes: - outputs_prefix = getattr(workspace, "outputs_prefix", None) - prefixes = (outputs_prefix or "outputs/",) - prefix = str(prefixes[0]).strip("/") - return f"/{prefix}/{RUNTIME_SKILLS_DIR}" if prefix else f"/{RUNTIME_SKILLS_DIR}" +def _tenant_key(ctx: RunContext[PlatformUserAuth]) -> str: + auth = ctx.auth + stable = auth.user_id if auth.user_id is not None else (auth.sub or auth.email) + return f"user:{stable}" -def _seed_runtime_skills(backend: Any, ctx: RunContext[Any]) -> list[str]: - """Copy packaged DeepAgents skills into the invocation workspace. - - DeepAgents loads skills from its backend, while source-controlled - ``skills/`` folders live in the image. This bridge lets generated agents - ship reusable SKILL.md bundles without giving up durable A2A workspace - files. - """ - root = Path(__file__).parent / "skills" - if not root.exists(): - return [] - runtime_skills_root = _runtime_skills_root(ctx) - uploads: list[tuple[str, bytes]] = [] - for path in root.rglob("*"): - if path.is_file(): - rel = path.relative_to(root).as_posix() - uploads.append((runtime_skills_root + rel, path.read_bytes())) - if uploads: - backend.upload_files(uploads) - return [runtime_skills_root] - return [] +def _valid_comparison_id(value: str) -> bool: + return bool(re.fullmatch(r"[A-Za-z0-9._-]{1,96}", str(value or ""))) -def _last_message_text(state: dict[str, Any]) -> str: - messages = state.get("messages") or [] - if not messages: - return json.dumps(state, default=str) +def _validate_request(comparison_id: str, quotes: list[QuoteInput], weights: WeightInput) -> list[ValidationIssue]: + issues: list[ValidationIssue] = [] + if not _valid_comparison_id(comparison_id): + issues.append(ValidationIssue(code="invalid_comparison_id", message="comparison_id must contain only letters, numbers, dot, underscore, or hyphen.", field="comparison_id", action="Use a stable id such as studio-quote-v1.")) + if len(quotes) < 2: + issues.append(ValidationIssue(code="at_least_two_quotes_required", message="QuoteJudge needs at least two vendor quotes to make a comparison.", field="quotes", action="Add at least one more vendor quote.")) + vendors = [q.vendor.casefold() for q in quotes] + if len(vendors) != len(set(vendors)): + issues.append(ValidationIssue(code="duplicate_vendor", message="Each quote vendor must be unique within a comparison.", field="quotes.vendor", action="Rename or merge duplicate vendor rows.")) + total_weight = weights.price + weights.delivery + weights.warranty + if total_weight <= 0: + issues.append(ValidationIssue(code="positive_weight_required", message="At least one scoring weight must be greater than zero.", field="weights", action="Set price, delivery, or warranty to a positive weight.")) + return issues - content = getattr(messages[-1], "content", None) - if isinstance(content, str): - return content - if isinstance(content, list): - parts: list[str] = [] - for item in content: - if isinstance(item, dict): - text = item.get("text") or item.get("content") - if text: - parts.append(str(text)) - elif item: - parts.append(str(item)) - return "\n".join(parts) if parts else json.dumps(content, default=str) - return str(content or messages[-1]) + +def _validation_result(comparison_id: str, issues: list[ValidationIssue]) -> dict[str, Any]: + code = issues[0].code if issues else "validation_failed" + return { + "ok": False, + "code": code, + "comparison_id": comparison_id, + "message": issues[0].message if issues else "The request could not be validated.", + "issues": [issue.model_dump() for issue in issues], + } + + +def _score_quotes(comparison_id: str, quotes: list[QuoteInput], weights: WeightInput) -> dict[str, Any]: + total_weight = weights.price + weights.delivery + weights.warranty + normalized_weights = { + "price": weights.price / total_weight, + "delivery": weights.delivery / total_weight, + "warranty": weights.warranty / total_weight, + } + totals = [q.unit_price * q.quantity for q in quotes] + deliveries = [q.delivery_days for q in quotes] + warranties = [q.warranty_months for q in quotes] + + rows: list[dict[str, Any]] = [] + for index, quote in enumerate(quotes): + price_score = _lower_is_better(totals[index], totals) + delivery_score = _lower_is_better(deliveries[index], deliveries) + warranty_score = _higher_is_better(warranties[index], warranties) + weighted_score = ( + price_score * normalized_weights["price"] + + delivery_score * normalized_weights["delivery"] + + warranty_score * normalized_weights["warranty"] + ) + rows.append( + { + "vendor": quote.vendor, + "unit_price": _money(quote.unit_price), + "quantity": quote.quantity, + "total_price": _money(quote.unit_price * quote.quantity), + "currency": quote.currency, + "delivery_days": quote.delivery_days, + "warranty_months": quote.warranty_months, + "scores": { + "price": _round_score(price_score), + "delivery": _round_score(delivery_score), + "warranty": _round_score(warranty_score), + "weighted_total": _round_score(weighted_score), + }, + } + ) + rows.sort(key=lambda row: (-row["scores"]["weighted_total"], row["total_price"], row["delivery_days"], -row["warranty_months"], row["vendor"])) + winner = rows[0] + return { + "ok": True, + "comparison_id": comparison_id, + "recommendation": { + "vendor": winner["vendor"], + "weighted_score": winner["scores"]["weighted_total"], + "why": _recommendation_reason(winner), + }, + "weights": { + "price": weights.price, + "delivery": weights.delivery, + "warranty": weights.warranty, + "normalized": {key: _round_score(value * 100) for key, value in normalized_weights.items()}, + }, + "quotes_ranked": rows, + "validation": {"ok": True, "issues": []}, + "saved_at": datetime.now(timezone.utc).isoformat(), + } + + +def _lower_is_better(value: float, values: list[float]) -> float: + low, high = min(values), max(values) + if high == low: + return 100.0 + return 100.0 * (high - value) / (high - low) + + +def _higher_is_better(value: float, values: list[float]) -> float: + low, high = min(values), max(values) + if high == low: + return 100.0 + return 100.0 * (value - low) / (high - low) + + +def _round_score(value: float) -> float: + return float(Decimal(str(value)).quantize(Decimal("0.01"), rounding=ROUND_HALF_UP)) + + +def _money(value: float) -> float: + return float(Decimal(str(value)).quantize(Decimal("0.01"), rounding=ROUND_HALF_UP)) + + +def _recommendation_reason(row: dict[str, Any]) -> str: + return ( + f"{row['vendor']} has the highest weighted score ({row['scores']['weighted_total']}) " + f"after balancing total price {row['currency']} {row['total_price']}, " + f"{row['delivery_days']} delivery days, and {row['warranty_months']} months warranty." + ) + + +def _connect() -> Any | None: + url = os.environ.get("DATABASE_URL") + if not url: + return None + import psycopg + from psycopg.rows import dict_row + + return psycopg.connect(url, row_factory=dict_row) + + +async def _save_comparison(tenant: str, comparison_id: str, result: dict[str, Any]) -> None: + conn = _connect() + if conn is None: + _MEMORY_COMPARISONS[(tenant, comparison_id)] = json.loads(json.dumps(result)) + return + with conn: + with conn.cursor() as cur: + cur.execute( + """ + INSERT INTO quote_comparisons (tenant_key, comparison_id, recommendation_vendor, result, payload, weighted_score, updated_at) + VALUES (%s, %s, %s, %s, %s, %s, NOW()) + ON CONFLICT (tenant_key, comparison_id) DO UPDATE SET + recommendation_vendor = EXCLUDED.recommendation_vendor, + result = EXCLUDED.result, + payload = EXCLUDED.payload, + weighted_score = EXCLUDED.weighted_score, + updated_at = NOW() + """, + ( + tenant, + comparison_id, + result["recommendation"]["vendor"], + json.dumps(result), + json.dumps(result), + result["recommendation"]["weighted_score"], + ), + ) + + +async def _load_comparison(tenant: str, comparison_id: str) -> dict[str, Any] | None: + conn = _connect() + if conn is None: + stored = _MEMORY_COMPARISONS.get((tenant, comparison_id)) + return json.loads(json.dumps(stored)) if stored is not None else None + with conn: + with conn.cursor() as cur: + cur.execute( + "SELECT COALESCE(result, payload) AS result FROM quote_comparisons WHERE tenant_key = %s AND comparison_id = %s", + (tenant, comparison_id), + ) + row = cur.fetchone() + if not row: + return None + value = row["result"] + return value if isinstance(value, dict) else json.loads(value) + + +async def _persist_receipt( + ctx: RunContext[PlatformUserAuth], + tenant: str, + comparison_id: str, + tool_name: str, + result: dict[str, Any], + inputs: dict[str, Any], +) -> dict[str, Any]: + now = datetime.now(timezone.utc).isoformat() + input_hash = _sha256_json(inputs) + result_hash = _sha256_json({k: v for k, v in result.items() if k != "receipt"}) + receipt = { + "receipt_id": str(uuid.uuid5(uuid.NAMESPACE_URL, f"{tenant}:{comparison_id}:{tool_name}:{input_hash}:{result_hash}")), + "agent": QuoteJudgeStudioV1.name, + "agent_version": QuoteJudgeStudioV1.version, + "tool_name": tool_name, + "comparison_id": comparison_id, + "status": "ok" if result.get("ok") else "validation_error", + "input_hash": input_hash, + "result_hash": result_hash, + "created_at": now, + "production": True, + } + conn = _connect() + if conn is None: + _MEMORY_RECEIPTS.append({"tenant_key": tenant, "payload": receipt}) + else: + with conn: + with conn.cursor() as cur: + cur.execute( + """ + INSERT INTO quote_judge_receipts (receipt_id, tenant_key, comparison_id, tool_name, status, input_hash, payload) + VALUES (%s, %s, %s, %s, %s, %s, %s) + ON CONFLICT (receipt_id) DO UPDATE SET payload = EXCLUDED.payload + """, + (receipt["receipt_id"], tenant, comparison_id, tool_name, receipt["status"], input_hash, json.dumps(receipt)), + ) + await ctx.emit_event(a2a.AgentEvent(kind="quote_judge_receipt_persisted", payload={"receipt_id": receipt["receipt_id"], "comparison_id": comparison_id, "tool_name": tool_name})) + return receipt + + +def _sha256_json(value: Any) -> str: + payload = json.dumps(value, sort_keys=True, separators=(",", ":"), default=str).encode("utf-8") + return hashlib.sha256(payload).hexdigest() + + +def _parse_browser_documents(documents: list[BrowserQuoteDocument]) -> dict[str, Any]: + issues: list[ValidationIssue] = [] + if not documents: + issues.append(ValidationIssue(code="upload_required", message="Upload at least one JSON, CSV, or text file containing two or more quotes.", field="documents", action="Choose a quote file or paste quote rows instead.")) + if len(documents) > MAX_BROWSER_UPLOADS: + issues.append(ValidationIssue(code="too_many_uploads", message=f"At most {MAX_BROWSER_UPLOADS} files can be uploaded at once.", field="documents", action="Upload fewer files or merge quote rows.")) + quotes: list[QuoteInput] = [] + for index, doc in enumerate(documents[:MAX_BROWSER_UPLOADS]): + if doc.media_type not in ALLOWED_UPLOAD_MEDIA_TYPES: + issues.append(ValidationIssue(code="unsupported_media_type", message=f"{doc.filename} has unsupported media type {doc.media_type}.", field=f"documents[{index}].media_type", action="Use JSON, CSV, or plain text.")) + continue + try: + data = base64.b64decode(doc.data_base64, validate=True) + except Exception: # noqa: BLE001 + issues.append(ValidationIssue(code="invalid_base64", message=f"{doc.filename} is not valid base64.", field=f"documents[{index}].data_base64", action="Re-select the file so the browser can encode it again.")) + continue + if len(data) > MAX_BROWSER_UPLOAD_BYTES: + issues.append(ValidationIssue(code="upload_too_large", message=f"{doc.filename} exceeds {MAX_BROWSER_UPLOAD_BYTES} bytes.", field=f"documents[{index}]", action="Upload a smaller quote file.")) + continue + parsed = _parse_document_bytes(doc.filename, doc.media_type, data) + if parsed["ok"]: + quotes.extend(parsed["quotes"]) + else: + issues.extend(parsed["issues"]) + if issues: + return {"ok": False, "issues": issues} + return {"ok": True, "quotes": quotes} + + +def _validate_uploaded_file_meta(filename: str, media_type: str, size_bytes: int) -> list[ValidationIssue]: + issues: list[ValidationIssue] = [] + if media_type not in ALLOWED_UPLOAD_MEDIA_TYPES: + issues.append(ValidationIssue(code="unsupported_media_type", message=f"{filename} has unsupported media type {media_type}.", field="quote_file.media_type", action="Upload JSON, CSV, or plain text.")) + if size_bytes > MAX_BROWSER_UPLOAD_BYTES: + issues.append(ValidationIssue(code="upload_too_large", message=f"{filename} exceeds {MAX_BROWSER_UPLOAD_BYTES} bytes.", field="quote_file", action="Upload a smaller file.")) + return issues + + +def _parse_document_bytes(filename: str, media_type: str, data: bytes) -> dict[str, Any]: + try: + text = data.decode("utf-8-sig") + except UnicodeDecodeError: + return {"ok": False, "issues": [ValidationIssue(code="upload_not_utf8", message=f"{filename} must be UTF-8 text, CSV, or JSON.", field="quote_file", action="Export the quote file as UTF-8.")]} + try: + if media_type == "application/json" or filename.lower().endswith(".json"): + raw = json.loads(text) + rows = raw.get("quotes", raw) if isinstance(raw, dict) else raw + if not isinstance(rows, list): + raise ValueError("JSON must be an array or an object with a quotes array") + quotes = [QuoteInput.model_validate(row) for row in rows] + elif media_type in {"text/csv", "application/vnd.ms-excel"} or filename.lower().endswith(".csv"): + reader = csv.DictReader(io.StringIO(text)) + quotes = [QuoteInput.model_validate(_normalize_quote_row(row)) for row in reader] + else: + quotes = _parse_plain_text_quotes(text) + return {"ok": True, "quotes": quotes} + except Exception as exc: # noqa: BLE001 + return {"ok": False, "issues": [ValidationIssue(code="quote_parse_failed", message=f"Could not parse {filename}: {exc}", field="quote_file", action="Use columns vendor, unit_price, quantity, delivery_days, warranty_months.")]} + + +def _normalize_quote_row(row: dict[str, Any]) -> dict[str, Any]: + aliases = { + "vendor": ["vendor", "supplier", "name"], + "unit_price": ["unit_price", "unit price", "price", "unit_cost"], + "quantity": ["quantity", "qty", "units"], + "delivery_days": ["delivery_days", "delivery days", "lead_time", "lead time", "days"], + "warranty_months": ["warranty_months", "warranty months", "warranty", "months"], + "currency": ["currency"], + } + lower = {str(k).strip().lower(): v for k, v in row.items()} + out: dict[str, Any] = {} + for target, keys in aliases.items(): + for key in keys: + if key in lower and lower[key] not in (None, ""): + out[target] = lower[key] + break + return out + + +def _parse_plain_text_quotes(text: str) -> list[QuoteInput]: + quotes: list[QuoteInput] = [] + for line in text.splitlines(): + if not line.strip(): + continue + parts = [part.strip() for part in re.split(r"[,;|]\s*", line) if part.strip()] + if len(parts) >= 5: + quotes.append(QuoteInput(vendor=parts[0], unit_price=float(parts[1]), quantity=int(float(parts[2])), delivery_days=int(float(parts[3])), warranty_months=int(float(parts[4])))) + if not quotes: + raise ValueError("plain text rows must be vendor, unit_price, quantity, delivery_days, warranty_months") + return quotes