7 Commits

Author SHA1 Message Date
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
13 changed files with 17 additions and 708 deletions
+2 -2
View File
@@ -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:
+4 -4
View File
@@ -138,7 +138,7 @@ public sealed class EmailApiEmailSender : IEmailSender
</tr>
<tr style="background:#f8f9fa">
<td style="font-weight:600;border:1px solid #dee2e6;color:#495057">IP Address</td>
<td style="border:1px solid #dee2e6">{userIp ?? _emailTemplates.Get("email.notification.unknown-ip", "en")}</td>
<td style="border:1px solid #dee2e6">{userIp ?? "Unknown"}</td>
</tr>
</table>
""";
@@ -215,8 +215,8 @@ public sealed class EmailApiEmailSender : IEmailSender
// email.match.body is now stored as HTML in the database
var body = _emailTemplates.Render("email.match.body", language,
("cvDocumentId", cvDocumentId),
("jobLabel", jobLabel ?? _emailTemplates.Get("email.match.fallback-na", language)),
("jobUrl", result.JobUrl ?? _emailTemplates.Get("email.match.fallback-na", language)),
("jobLabel", jobLabel ?? "N/A"),
("jobUrl", result.JobUrl ?? "N/A"),
("score", result.Score.ToString()),
("summary", WebUtility.HtmlEncode(result.Summary ?? string.Empty)),
("strengths", strengths),
@@ -238,7 +238,7 @@ public sealed class EmailApiEmailSender : IEmailSender
public string BuildMatchEmailSubject(int score, string? jobLabel, string language) =>
_emailTemplates.Render("email.match.subject", language,
("score", score.ToString()),
("jobLabel", jobLabel ?? _emailTemplates.Get("email.match.subject-fallback-label", language)));
("jobLabel", jobLabel ?? "Job"));
public string GetManualJobLabel(string language) =>
_emailTemplates.Get("email.match.manual-job-label", language);
@@ -141,9 +141,7 @@ public sealed class CvMatcherService : ICvMatcherService
""";
var json = await _ai.CreateChatCompletionAsync(systemPrompt, userPrompt, 0.2m, ct);
var errorSummary = await _aiPrompts.GetAsync("parse-error.summary", language, ct);
var errorRec = await _aiPrompts.GetAsync("parse-error.recommendation", language, ct);
var result = ParseResult(json, errorSummary, errorRec);
var result = ParseResult(json);
result.JobDocumentId = job.Id;
result.JobUrl = job.SourceUrl;
result.Cached = false;
@@ -155,10 +153,7 @@ public sealed class CvMatcherService : ICvMatcherService
/// Deserialises the LLM's JSON output into a <see cref="JobMatchResponse"/>.
/// Returns a safe fallback response instead of throwing when the JSON cannot be parsed.
/// </summary>
private static JobMatchResponse ParseResult(
string json,
string? errorSummary = null,
string? errorRec = null)
private static JobMatchResponse ParseResult(string json)
{
try
{
@@ -173,8 +168,8 @@ public sealed class CvMatcherService : ICvMatcherService
return new JobMatchResponse
{
Score = 0,
Summary = errorSummary ?? "The AI response could not be parsed as structured JSON.",
Recommendations = [errorRec ?? "Inspect the raw model output and tune the scoring prompt."]
Summary = "The AI response could not be parsed as structured JSON.",
Recommendations = ["Inspect the raw model output and tune the scoring prompt."]
};
}
@@ -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("20260608193046_AddParseErrorPrompts")]
partial class AddParseErrorPrompts
{
/// <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
}
}
}
@@ -1,67 +0,0 @@
using CvMatcher.Data;
using Microsoft.EntityFrameworkCore.Migrations;
#nullable disable
namespace CvMatcher.Data.Migrations
{
/// <inheritdoc />
public partial class AddParseErrorPrompts : Migration
{
/// <inheritdoc />
protected override void Up(MigrationBuilder migrationBuilder)
{
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
columns: ["Key", "Language", "Value", "Description"],
values: ["parse-error.summary", "en", "The AI response could not be parsed. Please try again.", "Summary shown in match email when the AI returns an unparseable response"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
columns: ["Key", "Language", "Value", "Description"],
values: ["parse-error.summary", "ro", "Răspunsul AI nu a putut fi interpretat. Vă rugăm să încercați din nou.", "Sumar afișat în emailul de potrivire când AI returnează un răspuns care nu poate fi interpretat"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
columns: ["Key", "Language", "Value", "Description"],
values: ["parse-error.recommendation", "en", "If the problem persists, try a different job link or description.", "Recommendation shown in match email when the AI returns an unparseable response"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
columns: ["Key", "Language", "Value", "Description"],
values: ["parse-error.recommendation", "ro", "Dacă problema persistă, încercați un alt link sau descriere de job.", "Recomandare afișată în emailul de potrivire când AI returnează un răspuns care nu poate fi interpretat"]);
}
/// <inheritdoc />
protected override void Down(MigrationBuilder migrationBuilder)
{
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["parse-error.summary", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["parse-error.summary", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["parse-error.recommendation", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "AiPrompts",
keyColumns: ["Key", "Language"],
keyValues: ["parse-error.recommendation", "ro"]);
}
}
}
@@ -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."
]);
}
}
}
@@ -1,69 +0,0 @@
// <auto-generated />
using System;
using Email.Data;
using Microsoft.EntityFrameworkCore;
using Microsoft.EntityFrameworkCore.Infrastructure;
using Microsoft.EntityFrameworkCore.Metadata;
using Microsoft.EntityFrameworkCore.Migrations;
using Microsoft.EntityFrameworkCore.Storage.ValueConversion;
#nullable disable
namespace Email.Data.Migrations
{
[DbContext(typeof(EmailDbContext))]
[Migration("20260608192938_AddFallbackStringTemplates")]
partial class AddFallbackStringTemplates
{
/// <inheritdoc />
protected override void BuildTargetModel(ModelBuilder modelBuilder)
{
#pragma warning disable 612, 618
modelBuilder
.HasDefaultSchema("email")
.HasAnnotation("ProductVersion", "10.0.7")
.HasAnnotation("Relational:MaxIdentifierLength", 128);
SqlServerModelBuilderExtensions.UseIdentityColumns(modelBuilder);
modelBuilder.Entity("Email.Data.Entities.EmailTemplateEntity", 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<string>("OperatorCopy")
.IsRequired()
.ValueGeneratedOnAdd()
.HasMaxLength(256)
.HasColumnType("nvarchar(256)")
.HasDefaultValue("");
b.Property<DateTime>("UpdatedAt")
.ValueGeneratedOnAdd()
.HasColumnType("datetime2")
.HasDefaultValueSql("SYSUTCDATETIME()");
b.Property<string>("Value")
.IsRequired()
.HasColumnType("nvarchar(max)");
b.HasKey("Key", "Language");
b.ToTable("Templates", "email");
});
#pragma warning restore 612, 618
}
}
}
@@ -1,163 +0,0 @@
using Email.Data;
using Microsoft.EntityFrameworkCore.Migrations;
#nullable disable
namespace Email.Data.Migrations
{
/// <inheritdoc />
public partial class AddFallbackStringTemplates : Migration
{
/// <inheritdoc />
protected override void Up(MigrationBuilder migrationBuilder)
{
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.match.fallback-na", "en", "N/A", "Fallback when a match email field (job label or URL) has no value"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.match.fallback-na", "ro", "N/A", "Fallback când un câmp al emailului de potrivire (etichetă job sau URL) nu are valoare"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.match.subject-fallback-label", "en", "Job", "Fallback job label used in match email subject when no specific label is available"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.match.subject-fallback-label", "ro", "Job", "Etichetă fallback pentru subiectul emailului de potrivire când nu există o etichetă specifică"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.notification.unknown-ip", "en", "Unknown", "Fallback IP address label in operator notification emails"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.notification.unknown-ip", "ro", "Necunoscut", "Etichetă fallback pentru adresa IP în emailurile de notificare operator"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.keywords-empty", "en", "none detected", "Text shown in job search results email when no CV keywords were extracted"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.keywords-empty", "ro", "niciunul detectat", "Text afișat în emailul cu rezultatele căutării când nu au fost extrase cuvinte cheie din CV"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.providers-empty", "en", "none", "Text shown in job search results email when no providers were searched"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.providers-empty", "ro", "niciunul", "Text afișat în emailul cu rezultatele căutării când nu au fost căutați furnizori"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.location-empty", "en", "-", "Fallback location display in job search results email scan summary"]);
migrationBuilder.InsertData(
schema: MigrationConstants.SchemaName,
table: "Templates",
columns: ["Key", "Language", "Value", "Description"],
values: ["email.search-results.location-empty", "ro", "-", "Afișaj fallback pentru locație în sumarului de scanare al emailului cu rezultatele căutării"]);
}
/// <inheritdoc />
protected override void Down(MigrationBuilder migrationBuilder)
{
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.match.fallback-na", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.match.fallback-na", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.match.subject-fallback-label", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.match.subject-fallback-label", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.notification.unknown-ip", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.notification.unknown-ip", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.keywords-empty", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.keywords-empty", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.providers-empty", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.providers-empty", "ro"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.location-empty", "en"]);
migrationBuilder.DeleteData(
schema: MigrationConstants.SchemaName,
table: "Templates",
keyColumns: ["Key", "Language"],
keyValues: ["email.search-results.location-empty", "ro"]);
}
}
}
BIN
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@@ -127,15 +127,13 @@ public sealed class CvSearchEmailSender
var keywordsHtml = keywords.Count > 0
? string.Join(" ", keywords.Select(k =>
$"<span style=\"display:inline-block;background:#e9ecef;padding:2px 8px;margin:2px 2px 2px 0;font-size:12px;\">{k}</span>"))
: $"<span style=\"color:#6c757d;font-size:12px;font-style:italic;\">{_emailTemplates.Get("email.search-results.keywords-empty", language)}</span>";
: "<span style=\"color:#6c757d;font-size:12px;font-style:italic;\">none detected</span>";
var providers = providerNames.Count > 0
? string.Join(", ", providerNames)
: _emailTemplates.Get("email.search-results.providers-empty", language);
: "none";
var locationDisplay = string.IsNullOrWhiteSpace(location)
? _emailTemplates.Get("email.search-results.location-empty", language)
: location;
var locationDisplay = string.IsNullOrWhiteSpace(location) ? "-" : location;
return _emailTemplates.Render("email.search-results.scan-summary", language,
("keywordsHtml", keywordsHtml),
+2 -8
View File
@@ -115,10 +115,7 @@
"cv.noItems": "No items yet.",
"cv.strengths": "Strengths",
"cv.gaps": "Gaps",
"cv.evidence": "Supporting CV excerpts",
"error.cv_file_missing": "Missing CV PDF.",
"error.captcha_verification_failed": "Captcha verification failed.",
"error.request_cancelled": "Request was cancelled."
"cv.evidence": "Supporting CV excerpts"
},
ro: {
"brand.subtitle": "prezentare inginerie AI",
@@ -227,10 +224,7 @@
"cv.noItems": "Niciun element.",
"cv.strengths": "Puncte forte",
"cv.gaps": "Lipsuri",
"cv.evidence": "Fragmente relevante din CV",
"error.cv_file_missing": "Fișierul CV PDF lipsește.",
"error.captcha_verification_failed": "Verificarea captcha a eșuat.",
"error.request_cancelled": "Cererea a fost anulată."
"cv.evidence": "Fragmente relevante din CV"
}
};
})();
+2 -12
View File
@@ -52,7 +52,6 @@ function isValidEmail(value) {
*
* Rules:
* - 429 (rate limit) → return rateLimitKey translation
* - 4xx with known error code → look up 'error.<code>' in i18n dictionary first
* - 4xx with error body → return server's error message (intentional feedback)
* - 5xx or no body → return fallbackKey translation
*
@@ -66,17 +65,8 @@ function extractApiError(body, status, fallbackKey, rateLimitKey) {
if (status === 429) {
return window.MyAi.t(rateLimitKey || 'form.rateLimited');
}
if (status >= 400 && status < 500) {
// Prefer i18n translation keyed on the machine-readable error code
if (body && body.code) {
var codeKey = 'error.' + body.code;
var translated = window.MyAi.t(codeKey);
if (translated !== codeKey) return translated;
}
var msg = body && (body.error || body.Error || body.title);
if (msg) return msg;
}
return window.MyAi.t(fallbackKey);
var msg = body && (body.error || body.Error || body.title);
return (status >= 400 && status < 500 && msg) ? msg : window.MyAi.t(fallbackKey);
}
// Expose helpers on window.MyAi for use by other scripts