feat(market-intel): implement role-based campaign engine and gritty reporting

- Implementierung der rollenbasierten Campaign-Engine mit operativem Fokus (Grit).
- Integration von Social Proof (Referenzkunden) in die E-Mail-Generierung.
- Erweiterung des Deep Tech Audits um gezielte Wettbewerber-Recherche (Technographic Search).
- Fix des Lösch-Bugs in der Target-Liste und Optimierung des Frontend-States.
- Erweiterung des Markdown-Exports um transparente Proof-Links und Evidenz.
- Aktualisierung der Dokumentation in readme.md und market_intel_backend_plan.md.
This commit is contained in:
2025-12-22 15:54:06 +00:00
parent e4aad40344
commit a077c48573
9 changed files with 545 additions and 76 deletions

View File

@@ -269,6 +269,89 @@ app.post('/api/analyze-company', async (req, res) => {
}
});
// API-Endpunkt für generate-outreach
app.post('/api/generate-outreach', async (req, res) => {
console.log(`[${new Date().toISOString()}] HIT: /api/generate-outreach`);
const { companyData, knowledgeBase, referenceUrl } = req.body;
if (!companyData || !knowledgeBase) {
console.error('Validation Error: Missing companyData or knowledgeBase for generate-outreach.');
return res.status(400).json({ error: 'Missing companyData or knowledgeBase' });
}
const tempDataFilePath = path.join(__dirname, 'tmp', `outreach_data_${Date.now()}.json`);
const tempContextFilePath = path.join(__dirname, 'tmp', `outreach_context_${Date.now()}.md`);
const tmpDir = path.join(__dirname, 'tmp');
if (!fs.existsSync(tmpDir)) {
fs.mkdirSync(tmpDir);
}
try {
fs.writeFileSync(tempDataFilePath, JSON.stringify(companyData));
fs.writeFileSync(tempContextFilePath, knowledgeBase);
console.log(`Successfully wrote temporary files for outreach.`);
const pythonExecutable = path.join(__dirname, '..', '.venv', 'bin', 'python3');
const pythonScript = path.join(__dirname, '..', 'market_intel_orchestrator.py');
const scriptArgs = [
pythonScript,
'--mode', 'generate_outreach',
'--company_data_file', tempDataFilePath,
'--context_file', tempContextFilePath,
'--reference_url', referenceUrl || ''
];
console.log(`Spawning Outreach Generation for ${companyData.companyName}...`);
const pythonProcess = spawn(pythonExecutable, scriptArgs, {
env: { ...process.env, PYTHONPATH: path.join(__dirname, '..', '.venv', 'lib', 'python3.11', 'site-packages') }
});
let pythonOutput = '';
let pythonError = '';
pythonProcess.stdout.on('data', (data) => {
pythonOutput += data.toString();
});
pythonProcess.stderr.on('data', (data) => {
pythonError += data.toString();
});
pythonProcess.on('close', (code) => {
console.log(`Outreach Generation finished with exit code: ${code}`);
// Clean up
if (fs.existsSync(tempDataFilePath)) fs.unlinkSync(tempDataFilePath);
if (fs.existsSync(tempContextFilePath)) fs.unlinkSync(tempContextFilePath);
if (code !== 0) {
console.error(`Python script (generate_outreach) exited with error.`);
return res.status(500).json({ error: 'Python script failed', details: pythonError });
}
try {
const result = JSON.parse(pythonOutput);
res.json(result);
} catch (parseError) {
console.error('Failed to parse Python output (generate_outreach) as JSON:', parseError);
res.status(500).json({ error: 'Invalid JSON from Python script', rawOutput: pythonOutput, details: pythonError });
}
});
pythonProcess.on('error', (err) => {
console.error(`FATAL: Failed to start python process for outreach.`, err);
if (fs.existsSync(tempDataFilePath)) fs.unlinkSync(tempDataFilePath);
if (fs.existsSync(tempContextFilePath)) fs.unlinkSync(tempContextFilePath);
res.status(500).json({ error: 'Failed to start Python process', details: err.message });
});
} catch (err) {
console.error(`Internal Server Error in /api/generate-outreach: ${err.message}`);
res.status(500).json({ error: err.message });
}
});
// Start des Servers
app.listen(PORT, () => {
console.log(`Node.js API Bridge running on http://localhost:${PORT}`);