bc778ce7af
Iterative Prompting: - Chat box on Match Review tab for natural language refinement - "re-run under 70%" / "ignore zero volume" / "set all volumes to 1" - Claude interprets instruction into structured actions - Actions: rematch_below_threshold, rematch_specific, delete_assets, set_volume - Re-matches affected assets automatically after refinement - Chat log shows instruction history RFP/Brief Analysis: - New "Brief Analysis" tab between Upload and Match Review - Extracts: summary, objectives, KPIs, channels, audiences, deliverable categories, constraints, timeline, budget, complexity assessment - Generates prioritized discovery questions (Red/Amber/Green) - Questions include category, rationale, and priority level - Stored as JSON in project.brief_analysis field - Uploaded files now saved to data dir for re-analysis - Re-analyze button to refresh analysis Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
108 lines
4.8 KiB
Python
108 lines
4.8 KiB
Python
import enum
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from datetime import datetime
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from sqlalchemy import String, Text, Integer, Numeric, Boolean, DateTime, Enum, ForeignKey, Index
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from app.database import Base
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from app.models.gmal import ModelType
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class ProjectStatus(str, enum.Enum):
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DRAFT = "draft"
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PARSING = "parsing"
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MATCHING = "matching"
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REVIEW = "review"
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BUILDING = "building"
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FINALIZED = "finalized"
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class MatchConfidence(str, enum.Enum):
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EXACT = "exact"
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CLOSE = "close"
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MULTIPLE = "multiple"
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NONE = "none"
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class Project(Base):
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__tablename__ = "projects"
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id: Mapped[int] = mapped_column(primary_key=True)
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name: Mapped[str] = mapped_column(String(255), nullable=False)
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client_name: Mapped[str | None] = mapped_column(String(255))
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description: Mapped[str | None] = mapped_column(Text)
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model_type: Mapped[ModelType] = mapped_column(Enum(ModelType), default=ModelType.CURRENT_OPLUS)
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status: Mapped[ProjectStatus] = mapped_column(Enum(ProjectStatus), default=ProjectStatus.DRAFT)
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source_filename: Mapped[str | None] = mapped_column(String(255))
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parse_stage: Mapped[str | None] = mapped_column(String(255))
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brief_analysis: Mapped[str | None] = mapped_column(Text)
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ai_input_tokens: Mapped[int] = mapped_column(Integer, default=0)
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ai_output_tokens: Mapped[int] = mapped_column(Integer, default=0)
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ai_cost_usd: Mapped[float] = mapped_column(Numeric(10, 6), default=0)
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ai_call_count: Mapped[int] = mapped_column(Integer, default=0)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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client_assets: Mapped[list["ClientAsset"]] = relationship(back_populates="project", cascade="all, delete-orphan")
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ratecard_lines: Mapped[list["RatecardLine"]] = relationship(back_populates="project", cascade="all, delete-orphan")
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class ClientAsset(Base):
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__tablename__ = "client_assets"
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id: Mapped[int] = mapped_column(primary_key=True)
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project_id: Mapped[int] = mapped_column(ForeignKey("projects.id", ondelete="CASCADE"), nullable=False)
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raw_name: Mapped[str | None] = mapped_column(String(500))
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raw_description: Mapped[str | None] = mapped_column(Text)
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volume: Mapped[int] = mapped_column(Integer, default=1)
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sort_order: Mapped[int | None] = mapped_column(Integer)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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project: Mapped["Project"] = relationship(back_populates="client_assets")
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matches: Mapped[list["Match"]] = relationship(back_populates="client_asset", cascade="all, delete-orphan")
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class Match(Base):
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__tablename__ = "matches"
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id: Mapped[int] = mapped_column(primary_key=True)
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client_asset_id: Mapped[int] = mapped_column(ForeignKey("client_assets.id", ondelete="CASCADE"), nullable=False)
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gmal_asset_id: Mapped[int] = mapped_column(ForeignKey("gmal_assets.id"), nullable=False)
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confidence: Mapped[MatchConfidence] = mapped_column(Enum(MatchConfidence), nullable=False)
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confidence_score: Mapped[float | None] = mapped_column(Numeric(3, 2))
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ai_reasoning: Mapped[str | None] = mapped_column(Text)
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caveat_text: Mapped[str | None] = mapped_column(Text)
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is_selected: Mapped[bool] = mapped_column(Boolean, default=False)
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rank: Mapped[int] = mapped_column(Integer, default=1)
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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client_asset: Mapped["ClientAsset"] = relationship(back_populates="matches")
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gmal_asset: Mapped["GmalAsset"] = relationship()
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__table_args__ = (
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Index("idx_matches_client_asset", "client_asset_id"),
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)
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class RatecardLine(Base):
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__tablename__ = "ratecard_lines"
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id: Mapped[int] = mapped_column(primary_key=True)
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project_id: Mapped[int] = mapped_column(ForeignKey("projects.id", ondelete="CASCADE"), nullable=False)
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client_asset_id: Mapped[int] = mapped_column(ForeignKey("client_assets.id"), nullable=False)
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gmal_asset_id: Mapped[int] = mapped_column(ForeignKey("gmal_assets.id"), nullable=False)
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role_id: Mapped[int] = mapped_column(ForeignKey("roles.id"), nullable=False)
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base_hours: Mapped[float | None] = mapped_column(Numeric(10, 2))
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volume: Mapped[int] = mapped_column(Integer, default=1)
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total_hours: Mapped[float | None] = mapped_column(Numeric(10, 2))
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manual_override: Mapped[float | None] = mapped_column(Numeric(10, 2))
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notes: Mapped[str | None] = mapped_column(Text)
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project: Mapped["Project"] = relationship(back_populates="ratecard_lines")
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client_asset: Mapped["ClientAsset"] = relationship()
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gmal_asset: Mapped["GmalAsset"] = relationship()
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role: Mapped["Role"] = relationship()
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__table_args__ = (
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Index("idx_ratecard_project", "project_id"),
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)
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