8 Commits

Author SHA1 Message Date
claude eb83d28ed5 Merge staging into production: PR #54 — Fix hardcoded user-facing strings
Build and Push Docker Images Staging / build (push) Successful in 10m36s
2026-06-08 22:34:35 +03:00
claude b6d9aea3bc Merge branch 'main' into production
Build and Push Docker Images Staging / build (push) Successful in 1m5s
2026-06-08 22:10:26 +03:00
claude 2b9132a3a9 Merge branch 'main' into production
Build and Push Docker Images Staging / build (push) Failing after 14s
2026-06-08 22:08:32 +03:00
claude e5bf56cc4d Merge branch 'main' into production
Build and Push Docker Images Staging / build (push) Successful in 42s
2026-06-08 21:48:24 +03:00
claude 8f58708cd9 Revert "Suppress environment prefix in email subjects on Production"
Build and Push Docker Images Staging / build (push) Successful in 1m35s
This reverts commit 06dd0140d6.
2026-06-08 21:45:45 +03:00
claude 06dd0140d6 Suppress environment prefix in email subjects on Production
[ENV_NAME] prefix is now only prepended in non-production environments
(Development, Staging, etc.). Production emails get a clean subject line.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-08 21:45:29 +03:00
claude 0aee7c4ed6 Changes
Build and Push Docker Images Staging / build (push) Successful in 45s
2026-06-08 21:31:35 +03:00
claude cd661fe613 Merge pull request 'Staging to Production' (#51) from main into production
Merge staging to production
2026-06-08 18:28:46 +00:00
4 changed files with 2 additions and 233 deletions
+2 -2
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@@ -3,7 +3,7 @@ name: Build and Push Docker Images Staging
on:
push:
branches:
- staging
- production
env:
GIT_HOST: git.easysoft.ro
@@ -16,7 +16,7 @@ env:
CV_CLEANUP_JOB_IMAGE: apps/myai-cv-cleanup-job
CV_SEARCH_JOB_IMAGE: apps/myai-cv-search-job
PAGE_FETCHER_API_IMAGE: apps/myai-page-fetcher-api
IMAGE_TAG: staging
IMAGE_TAG: production
jobs:
build:
@@ -1,138 +0,0 @@
// <auto-generated />
using System;
using CvMatcher.Data;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Metadata;
using Microsoft.EntityFrameworkCore.Migrations;
using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
#nullable disable
namespace CvMatcher.Data.Migrations
{
[DbContext(typeof(CvMatcherDbContext))]
[Migration("20260609133623_FixKeywordExtractionPrompt")]
partial class FixKeywordExtractionPrompt
{
/// <inheritdoc />
protected override void BuildTargetModel(ModelBuilder modelBuilder)
{
#pragma warning disable 612, 618
modelBuilder
.HasDefaultSchema("cvMatcher")
.HasAnnotation("ProductVersion", "10.0.7")
.HasAnnotation("Relational:MaxIdentifierLength", 128);
SqlServerModelBuilderExtensions.UseIdentityColumns(modelBuilder);
modelBuilder.Entity("CvMatcher.Data.Entities.AiPromptEntity", b =>
{
b.Property<string>("Key")
.HasMaxLength(128)
.HasColumnType("nvarchar(128)");
b.Property<string>("Language")
.HasMaxLength(8)
.HasColumnType("nvarchar(8)");
b.Property<string>("Description")
.IsRequired()
.ValueGeneratedOnAdd()
.HasMaxLength(500)
.HasColumnType("nvarchar(500)")
.HasDefaultValue("");
b.Property<DateTime>("UpdatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("Value")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.HasKey("Key", "Language");
b.ToTable("AiPrompts", "cvMatcher");
});
modelBuilder.Entity("CvMatcher.Data.Entities.CvMatchResultEntity", b =>
{
b.Property<string>("Id")
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("ClientIpAddress")
.HasMaxLength(45)
.HasColumnType("nvarchar(45)");
b.Property<DateTime>("CreatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("CvDocumentId")
.IsRequired()
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("Email")
.HasMaxLength(256)
.HasColumnType("nvarchar(256)");
b.Property<string>("JobDocumentId")
.IsRequired()
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<string>("Language")
.IsRequired()
.HasColumnType("nvarchar(450)");
b.Property<string>("ResultJson")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.Property<int>("Score")
.HasColumnType("int");
b.HasKey("Id");
b.HasIndex("CvDocumentId", "JobDocumentId", "Language")
.IsUnique();
b.ToTable("Results", "cvMatcher");
});
modelBuilder.Entity("CvMatcher.Data.Entities.CvMatcherChatCacheEntity", b =>
{
b.Property<string>("CacheKey")
.HasMaxLength(64)
.HasColumnType("nvarchar(64)");
b.Property<DateTime>("CreatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("Model")
.IsRequired()
.HasMaxLength(120)
.HasColumnType("nvarchar(120)");
b.Property<string>("ResponseText")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.Property<decimal>("Temperature")
.HasColumnType("decimal(4,2)");
b.HasKey("CacheKey");
b.ToTable("ChatCache", "cvMatcher");
});
#pragma warning restore 612, 618
}
}
}
@@ -1,93 +0,0 @@
using CvMatcher.Data;
using Microsoft.EntityFrameworkCore.Migrations;
#nullable disable
namespace CvMatcher.Data.Migrations
{
/// <inheritdoc />
public partial class FixKeywordExtractionPrompt : Migration
{
// Full prompt values — only the 'keywords' instruction changes vs. the previous migration.
// Stored in full so Down() can restore the previous version exactly.
private const string EnNew =
"You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100. Penalize missing required skills. Do not invent experience. Use concise business language. All text fields in the JSON response must be in English.\n" +
"JSON shape: {\"score\":number,\"summary\":\"one-line summary in English\",\"strengths\":[\"strength 1 in English\"],\"gaps\":[\"gap 1 in English\"],\"recommendations\":[\"recommendation 1 in English\"],\"evidence\":[\"evidence 1 in English\"],\"keywords\":[\"Senior .NET Developer\",\"C#\",\"Azure\"],\"location\":\"City, Country\"}.\n" +
"For 'keywords': extract 2-4 job-board search terms that represent the candidate's professional identity as shown in their CV — their seniority level and primary role title (e.g. 'Software Architect', 'Engineering Manager', 'Senior .NET Developer') plus 1-2 core technologies they genuinely emphasize throughout the CV. Derive these entirely from the CV — do not use the job title or job technologies unless they independently match the candidate's actual positioning. Avoid generic terms like 'developer', 'engineer', 'cloud', or 'leadership'.\n" +
"For 'location': extract the candidate's city and country from the CV (e.g. 'Cluj-Napoca, Romania'). Use an empty string if not found.";
private const string EnPrev =
"You are a strict CV-to-job matching engine. Return JSON only. Score realistically from 0 to 100. Penalize missing required skills. Do not invent experience. Use concise business language. All text fields in the JSON response must be in English.\n" +
"JSON shape: {\"score\":number,\"summary\":\"one-line summary in English\",\"strengths\":[\"strength 1 in English\"],\"gaps\":[\"gap 1 in English\"],\"recommendations\":[\"recommendation 1 in English\"],\"evidence\":[\"evidence 1 in English\"],\"keywords\":[\"Senior .NET Developer\",\"C#\",\"Azure\"],\"location\":\"City, Country\"}.\n" +
"For 'keywords': extract 2-4 short, concrete terms a recruiter would search for on a job board — the candidate's primary role title and key technologies (e.g. 'Senior .NET Developer', 'C#', 'Azure'). Avoid abstract concepts like 'leadership', 'cloud', or 'microservices'.\n" +
"For 'location': extract the candidate's city and country from the CV (e.g. 'Cluj-Napoca, Romania'). Use an empty string if not found.";
private const string RoNew =
"Ești un motor strict de potrivire CV-job. Returnează doar JSON. Punctează realist între 0 și 100. Penalizează abilitățile lipsă necesare. Nu inventa experiență. Folosește limbaj profesional concis. Toate câmpurile text din răspunsul JSON trebuie să fie în limba română.\n" +
"JSON shape: {\"score\":number,\"summary\":\"rezumat pe o linie în română\",\"strengths\":[\"punct forte 1 în română\"],\"gaps\":[\"lipsă 1 în română\"],\"recommendations\":[\"recomandare 1 în română\"],\"evidence\":[\"dovadă 1 în română\"],\"keywords\":[\"Senior .NET Developer\",\"C#\",\"Azure\"],\"location\":\"Oraș, Țară\"}.\n" +
"Pentru 'keywords': extrage 2-4 termeni de căutare pe site-uri de joburi care reprezintă identitatea profesională a candidatului conform CV-ului — nivelul de senioritate și titlul principal de rol (ex. 'Software Architect', 'Engineering Manager', 'Senior .NET Developer') și 1-2 tehnologii de bază pe care candidatul le evidențiază cu adevărat în CV. Derivă aceștia exclusiv din CV — nu folosi titlul jobului sau tehnologiile din job dacă nu corespund poziționării reale a candidatului. Evită termeni generici precum 'developer', 'engineer', 'cloud' sau 'leadership'.\n" +
"Pentru 'location': extrage orașul și țara candidatului din CV (ex. 'Cluj-Napoca, România'). Folosește string gol dacă nu se găsește.";
private const string RoPrev =
"Ești un motor strict de potrivire CV-job. Returnează doar JSON. Punctează realist între 0 și 100. Penalizează abilitățile lipsă necesare. Nu inventa experiență. Folosește limbaj profesional concis. Toate câmpurile text din răspunsul JSON trebuie să fie în limba română.\n" +
"JSON shape: {\"score\":number,\"summary\":\"rezumat pe o linie în română\",\"strengths\":[\"punct forte 1 în română\"],\"gaps\":[\"lipsă 1 în română\"],\"recommendations\":[\"recomandare 1 în română\"],\"evidence\":[\"dovadă 1 în română\"],\"keywords\":[\"Senior .NET Developer\",\"C#\",\"Azure\"],\"location\":\"Oraș, Țară\"}.\n" +
"Pentru 'keywords': extrage 2-4 termeni scurți și concreți pe care un recrutor i-ar căuta pe un site de joburi — titlul principal al rolului și tehnologiile cheie (ex. 'Senior .NET Developer', 'C#', 'Azure'). Evită concepte abstracte precum 'leadership', 'cloud' sau 'microservicii'.\n" +
"Pentru 'location': extrage orașul și țara candidatului din CV (ex. 'Cluj-Napoca, România'). Folosește string gol dacă nu se găsește.";
/// <inheritdoc />
protected override void Up(MigrationBuilder migrationBuilder)
{
// Update English prompt: keywords must now be derived from the CV only,
// not influenced by the job description being matched against.
migrationBuilder.UpdateData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["ai.cv-match.system-prompt", "en"],
columns: ["Value", "Description"],
values: [
EnNew,
"System prompt for CV-to-job matching in English. Keywords represent the candidate's CV identity (seniority + role + core tech), not the job being matched."
]);
// Update Romanian prompt: same improvement.
migrationBuilder.UpdateData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["ai.cv-match.system-prompt", "ro"],
columns: ["Value", "Description"],
values: [
RoNew,
"System prompt pentru potrivire CV-job în română. Cuvintele cheie reprezintă identitatea CV-ului candidatului (senioritate + rol + tehnologii cheie), nu jobul cu care se face potrivirea."
]);
}
/// <inheritdoc />
protected override void Down(MigrationBuilder migrationBuilder)
{
migrationBuilder.UpdateData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["ai.cv-match.system-prompt", "en"],
columns: ["Value", "Description"],
values: [
EnPrev,
"System prompt for CV-to-job matching in English. Extracts job-board-friendly keywords (role title + key tech) and candidate location."
]);
migrationBuilder.UpdateData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["ai.cv-match.system-prompt", "ro"],
columns: ["Value", "Description"],
values: [
RoPrev,
"System prompt pentru potrivire CV-job în limba română. Extrage cuvinte cheie prietenoase pentru site-uri de joburi (titlu rol + tehnologii cheie) și locația candidatului."
]);
}
}
}
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