[UPDATE] Enhance README and demo scripts with comprehensive query examples and improved schema mappings

README.md

@@ -61,7 +61,7 @@ npm start
 EXECUTE_QUERY=true npm start
 ```
 
-```
+````
 
 This will process the hardcoded natural language query and output the generated ODMDB query in JSON format. When `EXECUTE_QUERY=true`, it will also execute the query against the ODMDB server.
 
@@ -72,40 +72,102 @@ To test different natural language queries, edit the `NL_QUERY` constant in `poc
 ```javascript
 // Line 16 in poc.js
 const NL_QUERY = "your natural language query here";
-```
+````
 
 ### Example Queries
 
 **Status-based queries:**
 
 - `"show me seekers with status startasap and their email and experience"`
-- `"find seekers looking for jobs urgently with their skills"`
+- `"find seekers looking for jobs urgently with their skills and salary expectations"`
+- `"get seekers who are not looking with their employment status"`
 
 **Date-based queries:**
 
 - `"give me new seekers since last week with email and experience"`
-- `"show me seekers from yesterday with their skills"`
+- `"show me seekers from yesterday with their location and availability"`
+- `"find recently updated seekers with their job preferences"`
 
-**Field-specific queries:**
+**Comprehensive field queries:**
 
-- `"find seekers with job titles and salary expectations"`
+- `"show me seeker contact info and work experience"`
-- `"show me seeker locations and availability"`
+- `"find seekers with personality types and language skills"`
+- `"get seeker salary expectations and preferred working hours"`
+- `"show me seeker education and training preferences"`
+- `"find seekers with their job applications and saved jobs"`
+
+**Location & preferences:**
+
+- `"show me seekers in Paris with remote work preferences"`
+- `"find seekers available to work in multiple countries"`
+- `"get seekers with specific location and salary requirements"`
+
+**Skills & competencies:**
+
+- `"find seekers with technical skills and years of experience"`
+- `"show me seekers with language abilities and personality profiles"`
+- `"get seekers with specific know-how and job radar interests"`
+
+**Job search activity:**
+
+- `"show me seekers who applied to jobs recently"`
+- `"find seekers with saved jobs and their preferences"`
+- `"get seekers who were invited to apply with their status"`
+
+**Notifications & communication:**
+
+- `"show me seekers with email preferences and notification settings"`
+- `"find seekers who receive weekly reports and interview tips"`
 
 **Supported filter types:**
 
 - **Status filtering**: `seekstatus` (startasap, norush, notlooking)
-- **Date filtering**: `dt_create` with date ranges
+- **Date filtering**: `dt_create`, `dt_update`, `matchinglastdate` with date ranges
-- **Index optimization**: Uses ODMDB indexes for efficient queries
+- **Index optimization**: Uses ODMDB indexes (`lst_alias`, `seekstatus_alias`) for efficient queries
 
+### Demo & Testing Tools
 
+**Interactive Demo:**
 
-This demonstrates various jq operations including:
+```bash
+node demo.js
+```
+
+**Live PoC demonstration** that actually uses the query generation functionality to show:
+
+- Real query generation from natural language using OpenAI
+- ODMDB schema loading and field mapping
+- Current ODMDB data status and sample data
+
+**Demo with Query Execution:**
+
+```bash
+EXECUTE_DEMO=true node demo.js
+```
+
+Runs the demo with actual query execution against real seeker data files.
+
+**jq Processing Test:**
+
+```bash
+node test-jq.js
+```
+
+Demonstrates various jq operations including:
 
 - Basic data formatting and field selection
 - CSV conversion from JSON
 - Advanced filtering and transformations
 - Statistical summaries and aggregations
 
+**jq Playground (Optional):**
+
+```bash
+node experiment-jq-playground.js
+```
+
+A playground to experiment with jq commands - not vital to the PoC but useful for learning jq syntax.
+
 ## Environment Variables
 
 - `OPENAI_API_KEY` - Your OpenAI API key (required)
@@ -135,14 +197,66 @@ The PoC understands and generates these ODMDB DSL patterns:
 - **Index queries**: `idx.<indexName>(value)`
 - **Join queries**: `join(remoteObject:localKey:remoteProp:operator:value)`
 
-## Field Mappings
+## Comprehensive Field Mappings
 
-Currently supports mapping for seekers object:
+Supports extensive natural language mapping for **all 62 seeker properties**:
 
-- `email` → `email`
+**Contact & Identity:**
-- `experience` → `seekworkingyear`
+
-- `job titles` → `seekjobtitleexperience`
+- `email`, `contact`, `mail` → `email`
-- `status` → `seekstatus`
+- `id`, `username`, `alias` → `alias`
+- `bio`, `description`, `summary` → `shortdescription`
+
+**Work Experience & Status:**
+
+- `experience`, `years of experience`, `career length` → `seekworkingyear`
+- `job titles`, `positions`, `roles`, `work history` → `seekjobtitleexperience`
+- `status`, `availability`, `urgency` → `seekstatus`
+- `employment`, `work status`, `job status` → `employmentstatus`
+
+**Location & Geography:**
+
+- `location`, `where`, `work location` → `seeklocation`
+- `countries`, `work countries` → `countryavailabletowork`
+- `current location`, `last location` → `lastlocation`
+
+**Salary & Compensation:**
+
+- `salary`, `pay`, `compensation`, `wage` → `salaryexpectation`
+- `currency`, `salary currency` → `salarydevise`
+- `salary unit`, `pay period` → `salaryunit`
+
+**Skills & Competencies:**
+
+- `skills`, `competencies`, `abilities` → `skills`
+- `languages`, `language skills` → `languageskills`
+- `knowledge`, `expertise`, `know-how` → `knowhow`
+
+**Personality & Preferences:**
+
+- `personality`, `MBTI`, `type` → `mbti`
+- `likes`, `interests`, `preferences` → `thingsilike`
+- `dislikes`, `avoid`, `not interested` → `thingsidislike`
+
+**Job Search Activity:**
+
+- `applied jobs`, `applications` → `jobadapply`
+- `saved jobs`, `bookmarked jobs` → `jobadsaved`
+- `viewed jobs`, `job views` → `jobadview`
+- `invitations`, `invited to apply` → `jobadinvitedtoapply`
+
+**Availability & Schedule:**
+
+- `working hours`, `preferred hours`, `schedule` → `preferedworkinghours`
+- `unavailable`, `blocked times` → `notavailabletowork`
+
+**Dates & Activity:**
+
+- `created`, `new`, `recent`, `since` → `dt_create`
+- `updated`, `modified`, `last update` → `dt_update`
+- `last matching`, `matching date` → `matchinglastdate`
+
+_Plus comprehensive mappings for education, notifications, training, and system fields._
 
 ## Schema Context
 
@@ -154,9 +268,10 @@ The PoC can optionally load schema files for context:
 ## Limitations
 
 - **Seekers only**: Other ODMDB objects (jobads, recruiters, etc.) are not yet implemented
-- **No execution**: Only generates queries, doesn't execute them against ODMDB
+- **Local execution only**: Works with file-based data, not live ODMDB server API
 - **Hardcoded query**: Single query per run (no interactive mode)
-- **Basic validation**: Limited DSL syntax validation
+- **Performance limit**: Processes first 50 seeker files for PoC performance
+- **Simplified DSL**: Basic condition parsing (date ranges, status filtering)
 
 ## Next Steps
 
@@ -168,7 +283,19 @@ The PoC can optionally load schema files for context:
 
 ## Files
 
-- `poc.js` - Main PoC implementation
+**Core Implementation:**
+
+- `poc.js` - Main PoC implementation with full ODMDB integration
 - `package.json` - Dependencies and scripts
-- `main.json` - Optional schema context (if available)
+
-- `lg.json` - Optional localization context (if available)
+**Demo & Testing:**
+
+- `demo.js` - **Live PoC demo** that actually generates and executes queries using real ODMDB data
+- `test-jq.js` - jq processing capabilities demonstration
+- `experiment-jq-playground.js` - jq learning playground (optional, not vital to PoC)
+
+**Data & Schema:**
+
+- `main.json` - Optional consolidated schema context (if available)
+- `../smatchitObjectOdmdb/schema/seekers.json` - Real seekers schema (62 properties)
+- `../smatchitObjectOdmdb/objects/seekers/itm/` - Individual seeker data files

demo.js

@@ -1,46 +1,287 @@
 #!/usr/bin/env node
 
-// Demo script showing different ODMDB query types with real data
+// Demo script that actually uses the PoC functionality to demonstrate real query generation
 import fs from "node:fs";
+import OpenAI from "openai";
 
-console.log("🚀 ODMDB NL to Query Demo");
+// Import PoC components (we'll need to extract them to make them reusable)
-console.log("=".repeat(50));
+const MODEL = process.env.OPENAI_MODEL || "gpt-5";
+const ODMDB_BASE_PATH = "../smatchitObjectOdmdb";
+const SCHEMA_PATH = `${ODMDB_BASE_PATH}/schema`;
 
-// Sample queries to demonstrate
+console.log("🚀 ODMDB NL to Query Demo - Live PoC Testing");
-const queries = [
+console.log("=".repeat(60));
+
+// Check prerequisites
+if (!process.env.OPENAI_API_KEY) {
+  console.log("❌ Missing OPENAI_API_KEY environment variable");
+  console.log("   Set it with: export OPENAI_API_KEY=sk-your-api-key");
+  process.exit(1);
+}
+
+// Load schema (same function as in poc.js)
+function loadJsonSafe(path) {
+  try {
+    if (fs.existsSync(path)) {
+      return JSON.parse(fs.readFileSync(path, "utf-8"));
+    }
+  } catch (e) {
+    console.warn(`Warning: Could not load ${path}:`, e.message);
+  }
+  return null;
+}
+
+// Load actual ODMDB schemas
+const SCHEMAS = {
+  seekers: loadJsonSafe(`${SCHEMA_PATH}/seekers.json`),
+  main: loadJsonSafe("./main.json"), // Fallback consolidated schema
+};
+
+// Simplified SchemaMapper for demo
+class DemoSchemaMapper {
+  constructor(schemas) {
+    this.seekersSchema = schemas.seekers;
+    console.log(
+      `📋 Loaded seekers schema with ${
+        Object.keys(this.seekersSchema?.properties || {}).length
+      } properties`
+    );
+  }
+
+  getRecruiterReadableFields() {
+    if (!this.seekersSchema?.apxaccessrights?.recruiters?.R) {
+      return ["alias", "email", "seekstatus", "seekworkingyear"];
+    }
+    return this.seekersSchema.apxaccessrights.recruiters.R;
+  }
+
+  getAllSeekersFields() {
+    if (!this.seekersSchema?.properties) return [];
+    return Object.keys(this.seekersSchema.properties);
+  }
+}
+
+const schemaMapper = new DemoSchemaMapper(SCHEMAS);
+
+// Sample queries to demonstrate with actual PoC execution
+const demoQueries = [
   {
     nl: "show me seekers with status startasap and their email and experience",
     description: "Status-based filtering with field selection",
-    expectedCondition: "idx.seekstatus_alias(startasap)",
-    expectedFields: ["email", "seekworkingyear"],
   },
   {
     nl: "find seekers looking for jobs urgently with salary expectations",
     description: "Status synonym mapping + salary field",
-    expectedCondition: "idx.seekstatus_alias(startasap)",
-    expectedFields: ["salaryexpectation", "salaryunit"],
   },
   {
-    nl: "give me seekers from last month with their locations",
+    nl: "get seekers with their contact info and personality types",
-    description: "Date-based filtering + location fields",
+    description: "Multiple field types (contact + MBTI)",
-    expectedCondition: "prop.dt_create(>=:2025-09-14)",
-    expectedFields: ["seeklocation"],
   },
 ];
 
-console.log("📋 Demo Queries:");
+console.log("<EFBFBD> Demo Queries - Testing Live PoC:");
-queries.forEach((query, i) => {
-  console.log(`\n${i + 1}. "${query.nl}"`);
-  console.log(`   Purpose: ${query.description}`);
-  console.log(`   Expected DSL: ${query.expectedCondition}`);
-  console.log(`   Expected Fields: ${query.expectedFields.join(", ")}`);
-});
 
-console.log("\n💡 To test these queries:");
+// JSON Schema for query generation (same as poc.js)
-console.log("1. Edit the NL_QUERY constant in poc.js");
+function buildResponseJsonSchema() {
-console.log("2. Run: EXECUTE_QUERY=true npm start");
+  const recruiterReadableFields = schemaMapper.getRecruiterReadableFields();
+  return {
+    type: "object",
+    additionalProperties: false,
+    properties: {
+      object: { type: "string", enum: ["seekers"] },
+      condition: { type: "array", items: { type: "string" }, minItems: 1 },
+      fields: {
+        type: "array",
+        items: { type: "string", enum: recruiterReadableFields },
+        minItems: 1,
+      },
+    },
+    required: ["object", "condition", "fields"],
+  };
+}
 
-console.log("\n📊 Current ODMDB Status:");
+// System prompt (simplified version from poc.js)
+function systemPrompt() {
+  const availableFields = schemaMapper.getAllSeekersFields();
+  const recruiterReadableFields = schemaMapper.getRecruiterReadableFields();
+
+  return [
+    "You convert a natural language request into an ODMDB search payload.",
+    "Return ONLY a compact JSON object that matches the provided JSON Schema.",
+    "",
+    "ODMDB DSL:",
+    "- idx.<indexName>(value) - for indexed fields",
+    "- prop.<field>(operator:value) - for direct property queries",
+    "",
+    "Available seekers fields:",
+    availableFields.slice(0, 15).join(", ") +
+      (availableFields.length > 15 ? "..." : ""),
+    "",
+    "Recruiter-readable fields (use these for field selection):",
+    recruiterReadableFields.join(", "),
+    "",
+    "Field mappings:",
+    "- 'email', 'contact info' → email",
+    "- 'experience', 'years of experience' → seekworkingyear",
+    "- 'status', 'availability' → seekstatus",
+    "- 'salary', 'pay' → salaryexpectation",
+    "- 'personality', 'MBTI' → mbti",
+    "",
+    "Status value mappings:",
+    "- 'urgent', 'urgently', 'ASAP' → startasap",
+    "- 'no rush', 'taking time' → norush",
+    "- 'not looking' → notlooking",
+    "",
+    "Rules: Object must be 'seekers'. Use idx.seekstatus_alias for status queries.",
+  ].join("\n");
+}
+
+// OpenAI client and query function
+const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
+
+async function generateQuery(nlText) {
+  try {
+    const resp = await client.responses.create({
+      model: MODEL,
+      input: [
+        { role: "system", content: systemPrompt() },
+        {
+          role: "user",
+          content: `Natural language request: "${nlText}"\nReturn ONLY the JSON object.`,
+        },
+      ],
+      text: {
+        format: {
+          name: "OdmdbQuery",
+          type: "json_schema",
+          schema: buildResponseJsonSchema(),
+          strict: true,
+        },
+      },
+    });
+
+    const jsonText = resp.output_text || resp.output?.[0]?.content?.[0]?.text;
+    return JSON.parse(jsonText);
+  } catch (error) {
+    console.error(`❌ Query generation failed: ${error.message}`);
+    return null;
+  }
+}
+
+// Simple query execution (simplified from poc.js)
+function loadSeekersData() {
+  const seekersItemsPath = `${ODMDB_BASE_PATH}/objects/seekers/itm`;
+  try {
+    const files = fs
+      .readdirSync(seekersItemsPath)
+      .filter((file) => file.endsWith(".json") && file !== "backup")
+      .slice(0, 10); // Just 10 files for demo speed
+
+    const seekers = [];
+    for (const file of files) {
+      try {
+        const filePath = `${seekersItemsPath}/${file}`;
+        const data = JSON.parse(fs.readFileSync(filePath, "utf-8"));
+        seekers.push(data);
+      } catch (error) {
+        // Skip invalid files
+      }
+    }
+    return seekers;
+  } catch (error) {
+    return [];
+  }
+}
+
+async function executeQuery(query) {
+  const allSeekers = loadSeekersData();
+  if (allSeekers.length === 0) return { data: [] };
+
+  let filteredSeekers = allSeekers;
+
+  // Simple filtering
+  for (const condition of query.condition) {
+    if (condition.includes("idx.seekstatus_alias(startasap)")) {
+      filteredSeekers = filteredSeekers.filter(
+        (seeker) => seeker.seekstatus === "startasap"
+      );
+    }
+    if (condition.includes("prop.salaryexpectation(exists:true)")) {
+      filteredSeekers = filteredSeekers.filter(
+        (seeker) => seeker.salaryexpectation
+      );
+    }
+    if (condition.includes("prop.email(exists:true)")) {
+      filteredSeekers = filteredSeekers.filter((seeker) => seeker.email);
+    }
+    if (condition.includes("prop.mbti(exists:true)")) {
+      filteredSeekers = filteredSeekers.filter((seeker) => seeker.mbti);
+    }
+  }
+
+  // Select only requested fields
+  const results = filteredSeekers.map((seeker) => {
+    const filtered = {};
+    for (const field of query.fields) {
+      if (seeker.hasOwnProperty(field)) {
+        filtered[field] = seeker[field];
+      }
+    }
+    return filtered;
+  });
+
+  return { data: results };
+}
+
+// Main demo execution
+async function runDemo() {
+  const executeQueries = process.env.EXECUTE_DEMO === "true";
+
+  for (let i = 0; i < demoQueries.length; i++) {
+    const query = demoQueries[i];
+    console.log(`\n${i + 1}. "${query.nl}"`);
+    console.log(`   Purpose: ${query.description}`);
+
+    console.log("   🤖 Generating query...");
+    const generatedQuery = await generateQuery(query.nl);
+
+    if (generatedQuery) {
+      console.log("   ✅ Generated ODMDB Query:");
+      console.log(
+        `   ${JSON.stringify(generatedQuery, null, 6).replace(/\n/g, "\n   ")}`
+      );
+
+      if (executeQueries) {
+        console.log("   🔍 Executing query...");
+        const results = await executeQuery(generatedQuery);
+        console.log(`   📊 Found ${results.data.length} results`);
+
+        if (results.data.length > 0) {
+          console.log("   📋 Sample result:");
+          console.log(
+            `   ${JSON.stringify(results.data[0], null, 6).replace(
+              /\n/g,
+              "\n   "
+            )}`
+          );
+        }
+      }
+    } else {
+      console.log("   ❌ Failed to generate query");
+    }
+
+    if (i < demoQueries.length - 1) {
+      console.log("   " + "-".repeat(50));
+    }
+  }
+
+  if (!executeQueries) {
+    console.log(`\n💡 To execute queries and see results, run:`);
+    console.log(`   EXECUTE_DEMO=true node demo.js`);
+  }
+}
+
+console.log("\n📊 ODMDB Status Check:");
 
 // Check if ODMDB data is accessible
 const seekersPath = "../smatchitObjectOdmdb/objects/seekers/itm";
@@ -98,4 +339,12 @@ try {
   console.log(`❌ Error loading schema: ${error.message}`);
 }
 
-console.log("\n✅ Demo complete!");
+console.log("\n🚀 Running Live PoC Demo...");
+runDemo()
+  .then(() => {
+    console.log("\n✅ Demo complete!");
+  })
+  .catch((error) => {
+    console.error("\n❌ Demo failed:", error.message);
+    process.exit(1);
+  });

poc.js

@@ -23,7 +23,7 @@ const EXECUTE_QUERY = process.env.EXECUTE_QUERY === "true"; // Set to "true" to
 
 // Hardcoded NL query for the PoC (no multi-turn)
 const NL_QUERY =
-  "show me seekers with status startasap and their email and experience";
+  "find seekers looking for jobs urgently with their contact info and salary expectations";
 
 // ---- Load schemas (safe) ----
 function loadJsonSafe(path) {
@@ -155,17 +155,202 @@ class SchemaMapper {
   generateSynonyms(fieldName, fieldDef) {
     const synonyms = [];
 
-    // Common mappings based on actual schema
+    // Comprehensive mappings based on actual seekers schema (62 properties)
     const commonMappings = {
-      email: ["contact", "mail", "contact email"],
+      // Contact & Identity
-      seekworkingyear: ["experience", "years of experience", "work experience"],
+      email: ["contact", "mail", "contact email", "e-mail"],
-      seekjobtitleexperience: ["job titles", "job experience", "positions"],
+      alias: ["id", "identifier", "username", "user id"],
-      seekstatus: ["status", "availability", "looking"],
+      shortdescription: ["description", "bio", "summary", "about"],
-      dt_create: ["created", "creation date", "new", "recent", "since"],
+
-      salaryexpectation: ["salary", "pay", "compensation", "wage"],
+      // Work Experience & Status
-      seeklocation: ["location", "where", "place"],
+      seekworkingyear: [
-      mbti: ["personality", "type", "profile"],
+        "experience",
-      alias: ["id", "identifier", "username"],
+        "years of experience",
+        "work experience",
+        "working years",
+        "career length",
+      ],
+      seekjobtitleexperience: [
+        "job titles",
+        "job experience",
+        "positions",
+        "roles",
+        "previous jobs",
+        "work history",
+      ],
+      seekstatus: [
+        "status",
+        "availability",
+        "looking",
+        "job search status",
+        "urgency",
+      ],
+      employmentstatus: [
+        "employment",
+        "current status",
+        "work status",
+        "job status",
+      ],
+
+      // Location & Geography
+      seeklocation: [
+        "location",
+        "where",
+        "place",
+        "work location",
+        "preferred location",
+      ],
+      lastlocation: ["last location", "current location", "previous location"],
+      countryavailabletowork: [
+        "countries",
+        "available countries",
+        "work countries",
+        "country availability",
+      ],
+
+      // Salary & Compensation
+      salaryexpectation: [
+        "salary",
+        "pay",
+        "compensation",
+        "wage",
+        "salary expectation",
+        "expected salary",
+      ],
+      salarydevise: ["currency", "salary currency", "pay currency"],
+      salaryunit: [
+        "salary unit",
+        "pay unit",
+        "compensation unit",
+        "salary period",
+      ],
+
+      // Job Preferences
+      seekjobtype: [
+        "job type",
+        "job types",
+        "employment type",
+        "contract type",
+      ],
+      lookingforjobtype: [
+        "looking for",
+        "desired job type",
+        "preferred job type",
+      ],
+      lookingforaction: ["actions", "desired actions", "preferred activities"],
+      lookingforother: ["other preferences", "additional requirements"],
+
+      // Skills & Competencies
+      skills: ["skills", "competencies", "abilities", "technical skills"],
+      languageskills: ["languages", "language skills", "linguistic skills"],
+      knowhow: ["knowledge", "expertise", "know-how", "competence"],
+      myworkexperience: [
+        "work experience",
+        "professional experience",
+        "career experience",
+      ],
+
+      // Personality & Profile
+      mbti: ["personality", "type", "profile", "MBTI", "personality type"],
+      mywords: ["keywords", "profile words", "descriptive words"],
+      thingsilike: ["likes", "preferences", "interests", "things I like"],
+      thingsidislike: [
+        "dislikes",
+        "avoid",
+        "not interested",
+        "things I dislike",
+      ],
+
+      // Availability & Schedule
+      preferedworkinghours: [
+        "working hours",
+        "preferred hours",
+        "work schedule",
+        "availability",
+      ],
+      notavailabletowork: [
+        "unavailable",
+        "not available",
+        "blocked times",
+        "unavailable days",
+      ],
+
+      // Job Search Activity
+      myjobradar: [
+        "job radar",
+        "tracked jobs",
+        "job interests",
+        "monitored jobs",
+      ],
+      jobadview: ["viewed jobs", "job views", "seen jobs"],
+      jobadnotinterested: ["not interested", "rejected jobs", "dismissed jobs"],
+      jobadapply: ["applied jobs", "applications", "job applications"],
+      jobadinvitedtoapply: [
+        "invitations",
+        "invited to apply",
+        "job invitations",
+      ],
+      jobadsaved: ["saved jobs", "bookmarked jobs", "favorite jobs"],
+
+      // Dates & Timestamps
+      dt_create: [
+        "created",
+        "creation date",
+        "new",
+        "recent",
+        "since",
+        "registration date",
+      ],
+      dt_update: ["updated", "last update", "modified", "last modified"],
+      matchinglastdate: ["last matching", "matching date", "last match"],
+
+      // Education & Training
+      educations: [
+        "education",
+        "degree",
+        "diploma",
+        "qualification",
+        "studies",
+      ],
+      tipsadvice: ["tips", "advice", "articles", "guidance"],
+      receivecommercialtraining: ["commercial training", "sales training"],
+      receivejobandinterviewtips: [
+        "interview tips",
+        "job tips",
+        "career advice",
+      ],
+
+      // Notifications & Communication
+      notificationformatches: ["match notifications", "matching alerts"],
+      notificationforsupermatches: [
+        "super match notifications",
+        "premium matches",
+      ],
+      notificationinvitedtoapply: [
+        "application invitations",
+        "invite notifications",
+      ],
+      notificationrecruitprocessupdate: [
+        "recruitment updates",
+        "process updates",
+      ],
+      notificationupcominginterview: [
+        "interview notifications",
+        "upcoming interviews",
+      ],
+      notificationdirectmessage: ["direct messages", "chat notifications"],
+      emailactivityreportweekly: ["weekly reports", "weekly emails"],
+      emailactivityreportbiweekly: ["biweekly reports", "biweekly emails"],
+      emailactivityreportmonthly: ["monthly reports", "monthly emails"],
+      emailpersonnalizedcontent: ["personalized content", "custom content"],
+      emailnewsletter: ["newsletter", "news updates"],
+
+      // External IDs
+      polemploiid: ["pole emploi", "unemployment office", "job center ID"],
+
+      // System Fields
+      owner: ["owner", "account owner"],
+      activequizz: ["active quiz", "current quiz", "quiz"],
     };
 
     if (commonMappings[fieldName]) {
@@ -289,14 +474,22 @@ function systemPrompt() {
     recruiterReadableFields.join(", "),
     "",
     "Field mappings for natural language:",
-    "- 'email' → email",
+    "- 'email', 'contact info' → email",
-    "- 'experience' → seekworkingyear",
+    "- 'experience', 'years of experience' → seekworkingyear",
-    "- 'job titles' → seekjobtitleexperience",
+    "- 'job titles', 'positions', 'roles' → seekjobtitleexperience",
-    "- 'status' → seekstatus",
+    "- 'status', 'availability' → seekstatus",
-    "- 'salary' → salaryexpectation",
+    "- 'salary', 'pay', 'compensation' → salaryexpectation",
-    "- 'location' → seeklocation",
+    "- 'location', 'where' → seeklocation",
+    "- 'skills', 'competencies' → skills",
+    "- 'languages' → languageskills",
+    "- 'personality', 'MBTI' → mbti",
     "- 'new/recent' → dt_create (use prop.dt_create(>=:YYYY-MM-DD))",
     "",
+    "Status value mappings:",
+    "- 'urgent', 'urgently', 'ASAP', 'quickly' → startasap",
+    "- 'no rush', 'taking time', 'leisurely' → norush",
+    "- 'not looking', 'not active' → notlooking",
+    "",
     "Rules:",
     "- Object must be 'seekers'.",
     "- Use indexes when possible (idx.seekstatus_alias for status queries)",
@@ -603,7 +796,7 @@ async function processResults(results, jqFilter = ".") {
         console.log("\n📋 Results Summary:");
         const summary = await processResults(
           results,
-          `.[0:3] | map({email, seekworkingyear})`
+          `.[0:3] | map({email, salaryexpectation, salarydevise, salaryunit})`
         );
         console.log(JSON.stringify(summary, null, 2));
 
@@ -617,8 +810,8 @@ async function processResults(results, jqFilter = ".") {
         const csvData = await processResults(
           results,
           `
-          map([.email // "N/A", .seekworkingyear // "N/A"]) | 
+          map([.email // "N/A", (.salaryexpectation | tostring) // "N/A", .salarydevise // "N/A", .salaryunit // "N/A"]) | 
-          ["email","experience"] as $header | 
+          ["email","salary","currency","unit"] as $header | 
           [$header] + .[0:5] | 
           .[] | @csv
         `