Floke
6a7d56a9c9
Resolved multiple issues preventing the 'competitor-analysis' app from running and serving its frontend:
1. **Fixed Python SyntaxError in Prompts:** Corrected unterminated string literals and ensure proper multi-line string formatting (using .format() instead of f-strings for complex prompts) in .
2. **Addressed Python SDK Compatibility (google-generativeai==0.3.0):**
* Removed for and by adapting the orchestrator to pass JSON schemas as direct Python dictionaries, as required by the older SDK version.
* Updated with detailed guidance on handling / imports and dictionary-based schema definitions for older SDKs.
3. **Corrected Frontend Build Dependencies:** Moved critical build dependencies (like , , ) from to in .
* Updated to include this pitfall, ensuring frontend build tools are installed in Docker.
4. **Updated Documentation:**
* : Added comprehensive lessons learned regarding dependencies, Python SDK versioning (specifically and imports for ), and robust multi-line prompt handling.
* : Integrated specific details of the encountered errors and their solutions, making the migration report a more complete historical record and guide.
These changes collectively fix the 404 error by ensuring the Python backend starts correctly and serves the frontend assets after a successful build.
120 lines
2.5 KiB
TypeScript
120 lines
2.5 KiB
TypeScript
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export interface Evidence {
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url: string;
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snippet: string;
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}
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export interface Product {
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name: string;
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purpose: string;
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evidence: Evidence[];
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}
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export interface TargetIndustry {
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name: string;
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evidence: Evidence[];
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}
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export interface Keyword {
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term: string;
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rationale: string;
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}
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export interface CompetitorCandidate {
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name: string;
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url: string;
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confidence: number;
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why: string;
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evidence: Evidence[];
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}
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export interface ShortlistedCompetitor {
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name: string;
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url: string;
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}
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export interface Analysis {
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competitor: {
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name: string;
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url: string;
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};
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portfolio: {
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product: string;
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purpose: string;
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}[];
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target_industries: string[];
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delivery_model: string;
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overlap_score: number;
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differentiators: string[];
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evidence: Evidence[];
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}
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export interface SilverBullet {
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competitor_name: string;
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statement: string;
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}
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export interface Conclusion {
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product_matrix: {
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product: string;
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availability: { competitor: string; has_offering: boolean; }[];
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}[];
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industry_matrix: {
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industry: string;
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availability: { competitor: string; has_offering: boolean; }[];
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}[];
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overlap_scores: { competitor: string; score: number }[];
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summary: string;
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opportunities: string;
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next_questions: string[];
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}
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export interface Battlecard {
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competitor_name: string;
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competitor_profile: {
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focus: string;
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positioning: string;
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};
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strengths_vs_weaknesses: string[];
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landmine_questions: string[];
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silver_bullet: string;
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}
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export interface ReferenceCustomer {
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name: string;
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industry: string;
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testimonial_snippet: string;
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case_study_url: string;
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}
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export interface ReferenceAnalysis {
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competitor_name: string;
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references: ReferenceCustomer[];
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}
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export interface AppState {
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step: number;
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initial_params: {
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start_url: string;
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max_competitors: number;
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market_scope: string;
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language: 'de' | 'en';
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};
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company: {
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name: string;
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start_url: string;
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};
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products: Product[];
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target_industries: TargetIndustry[];
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keywords: Keyword[];
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competitor_candidates: CompetitorCandidate[];
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competitors_shortlist: ShortlistedCompetitor[];
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analyses: Analysis[];
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silver_bullets: SilverBullet[];
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conclusion: Conclusion | null;
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battlecards: Battlecard[];
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reference_analysis: ReferenceAnalysis[];
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reference_analysis_grounding: any[];
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} |