First commit
This commit is contained in:
gauvainboiche
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# Seuils et Marges (en mm)
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MINIMUM_POLICE_SIZE=9
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MARGIN_HEIGHT_BOTTOM=15
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MARGIN_LEFT_RIGHT=20
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# Couleurs (Hexadécimal)
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COLOR_PRIMARY=#1A365D
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COLOR_SECONDARY=#2B6CB0
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COLOR_TEXT=#2D3748
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COLOR_ACCENT=#4A5568
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+10
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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv
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3.14
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import os
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from dotenv import load_dotenv
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load_dotenv()
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# Dimensions & Marges
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MINIMUM_POLICE_SIZE = float(os.getenv("MINIMUM_POLICE_SIZE", "7.5"))
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MARGIN_Y_MM = float(os.getenv("MARGIN_HEIGHT_BOTTOM", "10"))
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MARGIN_X_MM = float(os.getenv("MARGIN_LEFT_RIGHT", "12"))
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# Conversions mm -> points PDF (1 mm ≈ 2.83465 pt)
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MM_TO_PT = 2.83465
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PAGE_WIDTH_PT = 210 * MM_TO_PT
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PAGE_HEIGHT_PT = 297 * MM_TO_PT
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MARGIN_X_PT = MARGIN_X_MM * MM_TO_PT
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MARGIN_Y_PT = MARGIN_Y_MM * MM_TO_PT
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USABLE_WIDTH = PAGE_WIDTH_PT - (2 * MARGIN_X_PT)
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USABLE_HEIGHT = PAGE_HEIGHT_PT - (2 * MARGIN_Y_PT)
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# Couleurs
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COLOR_PRIMARY = os.getenv("COLOR_PRIMARY", "#1A365D")
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COLOR_SECONDARY = os.getenv("COLOR_SECONDARY", "#2B6CB0")
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COLOR_TEXT = os.getenv("COLOR_TEXT", "#2D3748")
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COLOR_ACCENT = os.getenv("COLOR_ACCENT", "#4A5568")
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@@ -0,0 +1,4 @@
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{
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"title": "Développeur Full Stack & Lead Tech",
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"summary": "Ingénieur logiciel passionné avec plus de 6 ans d'expérience dans la conception d'architectures résilientes et évolutives. Spécialisé en écosystèmes Python, backend, et optimisation de performances. Fort intérêt pour le Clean Code et le mentoring technique."
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}
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@@ -0,0 +1,20 @@
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[
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{
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"role": "Senior Python Engineer",
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"company": "Tech Corp",
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"dates": "2022 - Présent",
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"details": [
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"Conception et déploiement de microservices traitant +1M de requêtes/jour.",
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"Réduction de la latence backend de 35% grâce à l'optimisation des requêtes SQL et du caching."
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]
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},
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{
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"role": "Développeur Software",
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"company": "Data Solutions",
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"dates": "2019 - 2022",
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"details": [
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"Développement de pipelines ETL automatisés en Python.",
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"Collaboration au sein d'une équipe Agile de 8 développeurs."
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]
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}
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]
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[
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"Contribution Open Source",
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"Échecs en compétition",
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"Randonnée"
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]
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{
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"LinkedIn": "https://linkedin.com/in/exemple",
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"GitHub": "https://github.com/exemple",
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"Portfolio": "https://alexandre-dupont.dev"
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}
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{
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"first_name": "Alexandre",
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"last_name": "Dupont",
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"email": "alexandre.dupont@email.com",
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"phone": "+33 6 12 34 56 78",
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"location": "Paris, France"
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}
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{
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"Français": "Langue maternelle",
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"Anglais": "Courant (C1 / TOEIC 940)",
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"Espagnol": "Notions"
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}
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%%EOF
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Gau0B9lo&I&A@C2m%q,F,VT8g6gUe4/A(2GZ=C-q4m2rGCDei4clhNts1SS3?ZFS(e%-?1ZrgcZG2IWLKa8lqiE91]mgD+eUd,e3pHW4$6SX3b0mFUY3>>@\d[W[j73lG@<eI:NTb5OJ$A;9FV$R^)``\OX>n>d.S'Cmf-:n8-"_X/1k_Om1N0,[]7>Bt457>01#T%>pZoa!$,8<B<l5p3PNZ^k@Tc4,AQ/NufTpbqOFk'r.MpQR1Z4':JGf"JDC$pP)?,Q/@aV4N0b1&;W(+rgf@,XNL#X?07`<lr'+*o+#PiR+qm7N\a=m/J@N`%!9`-B/Xp1g7O`LOl*18#ne/:e.1(6aR;]82&mcPo`uZY["pj&&F3;=\iJVjuh,V[$oj-Rk,:_n<1a`(7hX5"3C;KMHM(&_aYX3-a=1YoON]KgGZhQ&plfVLg,=13g\sUn0n8L*VIhe:hgoQ-EOCZpL,3KgJ"Z1T;I92:^Nt_j)b:IVnPfNSbT=mZ!C,IirPhOJAl(IU!RN%4M-4pcFXlZ2*!%LsqlQ7X5><B^>32PS+`Zh^=L\$QFYM3DdGTa3F#Ej`K'ti&"(tgrI3Kb/V')'_5(dP)^0mWEsp_B^&NjbZ^;F("AslUs[mLJU#0IC=P5H6:aE+#$*,H\b:q^U7_/%#F0hfkRqYYNJ>u?YiULZ=M!'m"4jA/;G#@J)o/$DLI%=t[8&nq6XUKa/u;CM$2%._Lm[<tj-Dfa.W"&*MgI/S/_l3R&bYE@TEA+S=ij-ToatrGpVp7*Nt$Y5@i\,-GG#ucF&3g*BS<WWTm(b$Aqb[qKi"Id`_*oKLZO/S:G%ad&L@b*?BZ7j5AujXdbF"s5+X=@'4nIO9X!XNa_Wk<o\t_\Sh_sVDB*-/#%'O^Z\J^!C$]F30[X[8&T'e<j4=j.N+Kh(@;K`hb9;c\K6M:`nGot$T(X@@q4Yh-+k\f03l:RJ0]P;bdD<u#WKiV08*rlHajQU^mB\@K!G@+.69BEZJ+ouZTA%($CsG55f(QG$-N0QqmleRj8%iZ\/^]g`-!X:+7Lq]*P941LQTSm:O*M^r3dDm2k3tX?pb3(=BqZ7&K@K5ddm\*!oiL)&Mm)cigq-A!i_a`%#Ua!lI)G.p0T>/`%Qr/8\Wr-EIpo-9F#eogj\maH<)R3.P@=`jFf#eSF10(m>Gn7Q:+'3@IqV+sEG')X#LPkjdQ;ZR4^f!"eB/]gHn?*0UPq7Em,ldhUJB7T0)p,KS=S!0roj*h,j+uA]`KkcV.Rj09ZZAZQXlTm]l"E3iQu==lL=5JgO+7KfBV#CA(+WM0?`=A_AO'>PN`qT3*Mmph.G*b@]bXdAtQU?1?`Q`j0(P+nRPt]:)7eg17]6?1UZ;.'tlS?oW!!S)ss`>$XNhb2/66\eo'rM*`r/fAIr*\Wc5jp1*h'u.eIIsh<E-q%ikk(!W@:/JH~>endstream
|
||||||
|
endobj
|
||||||
|
xref
|
||||||
|
0 13
|
||||||
|
0000000000 65535 f
|
||||||
|
0000000061 00000 n
|
||||||
|
0000000112 00000 n
|
||||||
|
0000000219 00000 n
|
||||||
|
0000000331 00000 n
|
||||||
|
0000000446 00000 n
|
||||||
|
0000000624 00000 n
|
||||||
|
0000000796 00000 n
|
||||||
|
0000000971 00000 n
|
||||||
|
0000001206 00000 n
|
||||||
|
0000001275 00000 n
|
||||||
|
0000001556 00000 n
|
||||||
|
0000001616 00000 n
|
||||||
|
trailer
|
||||||
|
<<
|
||||||
|
/ID
|
||||||
|
[<1148cf4482e907e3947d7ba54d2ab124><1148cf4482e907e3947d7ba54d2ab124>]
|
||||||
|
% ReportLab generated PDF document -- digest (opensource)
|
||||||
|
|
||||||
|
/Info 10 0 R
|
||||||
|
/Root 9 0 R
|
||||||
|
/Size 13
|
||||||
|
>>
|
||||||
|
startxref
|
||||||
|
3152
|
||||||
|
%%EOF
|
||||||
@@ -0,0 +1,40 @@
|
|||||||
|
import json
|
||||||
|
from pathlib import Path
|
||||||
|
|
||||||
|
DATA_DIR = Path(__file__).parent / "data"
|
||||||
|
|
||||||
|
REQUIRED_FILES = {
|
||||||
|
"identity.json": ["first_name", "last_name", "email"],
|
||||||
|
"context.json": ["title", "summary"],
|
||||||
|
"experiences.json": [],
|
||||||
|
"languages.json": [],
|
||||||
|
"hobbies.json": [],
|
||||||
|
"hyperlinks.json": []
|
||||||
|
}
|
||||||
|
|
||||||
|
def load_json_data() -> dict:
|
||||||
|
data = {}
|
||||||
|
if not DATA_DIR.exists():
|
||||||
|
raise FileNotFoundError(f"Le dossier '{DATA_DIR}' n'existe pas.")
|
||||||
|
|
||||||
|
for filename, required_keys in REQUIRED_FILES.items():
|
||||||
|
file_path = DATA_DIR / filename
|
||||||
|
if not file_path.exists():
|
||||||
|
raise FileNotFoundError(f"Fichier requis manquant : '{filename}' dans le dossier data/")
|
||||||
|
|
||||||
|
with open(file_path, "r", encoding="utf-8") as f:
|
||||||
|
try:
|
||||||
|
content = json.load(f)
|
||||||
|
except json.JSONDecodeError as e:
|
||||||
|
raise ValueError(f"Erreur de syntaxe JSON dans '{filename}' : {e}")
|
||||||
|
|
||||||
|
# Validation des clés requises
|
||||||
|
if isinstance(content, dict):
|
||||||
|
for key in required_keys:
|
||||||
|
if key not in content or not str(content[key]).strip():
|
||||||
|
raise KeyError(f"Clé manquante ou vide '{key}' dans '{filename}'")
|
||||||
|
|
||||||
|
key_name = filename.replace(".json", "")
|
||||||
|
data[key_name] = content
|
||||||
|
|
||||||
|
return data
|
||||||
@@ -0,0 +1,30 @@
|
|||||||
|
from datetime import datetime
|
||||||
|
from pathlib import Path
|
||||||
|
from loader import load_json_data
|
||||||
|
from pdf_builder import generate_pdf
|
||||||
|
|
||||||
|
def main():
|
||||||
|
# 1. Chargement et validation des données JSON
|
||||||
|
try:
|
||||||
|
data = load_json_data()
|
||||||
|
except Exception as e:
|
||||||
|
print(f"❌ Erreur lors du chargement des données : {e}")
|
||||||
|
return
|
||||||
|
|
||||||
|
# 2. Préparation du dossier de sortie
|
||||||
|
export_dir = Path(__file__).parent / "exports"
|
||||||
|
export_dir.mkdir(exist_ok=True)
|
||||||
|
|
||||||
|
# 3. Formatage du nom de fichier
|
||||||
|
timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
|
||||||
|
title_raw = data.get("context", {}).get("title", "CV")
|
||||||
|
title_clean = "".join(c if c.isalnum() else "_" for c in title_raw)
|
||||||
|
|
||||||
|
filename = f"{timestamp}_{title_clean}.pdf"
|
||||||
|
output_path = export_dir / filename
|
||||||
|
|
||||||
|
# 4. Génération du PDF
|
||||||
|
generate_pdf(data, str(output_path))
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
+160
@@ -0,0 +1,160 @@
|
|||||||
|
import sys
|
||||||
|
from reportlab.lib.pagesizes import A4
|
||||||
|
from reportlab.lib.colors import HexColor
|
||||||
|
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, HRFlowable
|
||||||
|
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
|
||||||
|
from config import (
|
||||||
|
USABLE_WIDTH, USABLE_HEIGHT, MARGIN_X_PT, MARGIN_Y_PT,
|
||||||
|
MINIMUM_POLICE_SIZE, COLOR_PRIMARY, COLOR_SECONDARY, COLOR_TEXT
|
||||||
|
)
|
||||||
|
|
||||||
|
def create_styles(scale: float):
|
||||||
|
"""Génère les styles dynamiques appliqués au texte selon le facteur d'échelle."""
|
||||||
|
styles = getSampleStyleSheet()
|
||||||
|
|
||||||
|
title_size = max(14 * scale, 9)
|
||||||
|
heading_size = max(11 * scale, 8)
|
||||||
|
body_size = 9 * scale
|
||||||
|
leading_ratio = 1.25
|
||||||
|
|
||||||
|
return {
|
||||||
|
"Name": ParagraphStyle(
|
||||||
|
"NameStyle",
|
||||||
|
fontName="Helvetica-Bold",
|
||||||
|
fontSize=title_size * 1.3,
|
||||||
|
leading=title_size * 1.3 * leading_ratio,
|
||||||
|
textColor=HexColor(COLOR_PRIMARY),
|
||||||
|
spaceAfter=2 * scale
|
||||||
|
),
|
||||||
|
"JobTitle": ParagraphStyle(
|
||||||
|
"JobTitleStyle",
|
||||||
|
fontName="Helvetica-Bold",
|
||||||
|
fontSize=title_size,
|
||||||
|
leading=title_size * leading_ratio,
|
||||||
|
textColor=HexColor(COLOR_SECONDARY),
|
||||||
|
spaceAfter=4 * scale
|
||||||
|
),
|
||||||
|
"SectionHeading": ParagraphStyle(
|
||||||
|
"SectionHeadingStyle",
|
||||||
|
fontName="Helvetica-Bold",
|
||||||
|
fontSize=heading_size,
|
||||||
|
leading=heading_size * leading_ratio,
|
||||||
|
textColor=HexColor(COLOR_PRIMARY),
|
||||||
|
spaceBefore=6 * scale,
|
||||||
|
spaceAfter=2 * scale
|
||||||
|
),
|
||||||
|
"Body": ParagraphStyle(
|
||||||
|
"BodyStyle",
|
||||||
|
fontName="Helvetica",
|
||||||
|
fontSize=body_size,
|
||||||
|
leading=body_size * leading_ratio,
|
||||||
|
textColor=HexColor(COLOR_TEXT),
|
||||||
|
spaceAfter=2 * scale
|
||||||
|
),
|
||||||
|
"SubText": ParagraphStyle(
|
||||||
|
"SubTextStyle",
|
||||||
|
fontName="Helvetica-Oblique",
|
||||||
|
fontSize=max(body_size * 0.9, 6),
|
||||||
|
leading=max(body_size * 0.9, 6) * leading_ratio,
|
||||||
|
textColor=HexColor(COLOR_TEXT)
|
||||||
|
),
|
||||||
|
"body_font_size": body_size
|
||||||
|
}
|
||||||
|
|
||||||
|
def build_story(data: dict, styles: dict, scale: float):
|
||||||
|
"""Construit la liste d'éléments Flowable du CV."""
|
||||||
|
story = []
|
||||||
|
|
||||||
|
# 1. En-tête : Identité
|
||||||
|
id_data = data["identity"]
|
||||||
|
context = data["context"]
|
||||||
|
links = data["hyperlinks"]
|
||||||
|
|
||||||
|
full_name = f"{id_data.get('first_name', '')} {id_data.get('last_name', '')}"
|
||||||
|
story.append(Paragraph(full_name, styles["Name"]))
|
||||||
|
story.append(Paragraph(context.get("title", ""), styles["JobTitle"]))
|
||||||
|
|
||||||
|
# Infos contact & liens
|
||||||
|
contact_bits = [id_data.get("email"), id_data.get("phone"), id_data.get("location")]
|
||||||
|
for k, v in links.items():
|
||||||
|
contact_bits.append(f'<a href="{v}"><u>{k}</u></a>')
|
||||||
|
|
||||||
|
contact_line = " • ".join(filter(None, contact_bits))
|
||||||
|
story.append(Paragraph(contact_line, styles["SubText"]))
|
||||||
|
story.append(Spacer(1, 4 * scale))
|
||||||
|
story.append(HRFlowable(width="100%", thickness=1, color=HexColor(COLOR_SECONDARY), spaceAfter=6 * scale))
|
||||||
|
|
||||||
|
# 2. Résumé
|
||||||
|
if context.get("summary"):
|
||||||
|
story.append(Paragraph("PROFIL", styles["SectionHeading"]))
|
||||||
|
story.append(Paragraph(context["summary"], styles["Body"]))
|
||||||
|
|
||||||
|
# 3. Expériences
|
||||||
|
if data.get("experiences"):
|
||||||
|
story.append(Paragraph("EXPÉRIENCES PROFESSIONNELLES", styles["SectionHeading"]))
|
||||||
|
for exp in data["experiences"]:
|
||||||
|
header = f"<b>{exp.get('role', '')}</b> — {exp.get('company', '')} ({exp.get('dates', '')})"
|
||||||
|
story.append(Paragraph(header, styles["Body"]))
|
||||||
|
for detail in exp.get("details", []):
|
||||||
|
bullet = f"• {detail}"
|
||||||
|
story.append(Paragraph(bullet, styles["Body"]))
|
||||||
|
|
||||||
|
# 4. Langues & Hobbies
|
||||||
|
if data.get("languages"):
|
||||||
|
story.append(Paragraph("LANGUES", styles["SectionHeading"]))
|
||||||
|
langs = [f"<b>{k}:</b> {v}" for k, v in data["languages"].items()]
|
||||||
|
story.append(Paragraph(" • ".join(langs), styles["Body"]))
|
||||||
|
|
||||||
|
if data.get("hobbies"):
|
||||||
|
story.append(Paragraph("CENTRES D'INTÉRÊT", styles["SectionHeading"]))
|
||||||
|
story.append(Paragraph(" • ".join(data["hobbies"]), styles["Body"]))
|
||||||
|
|
||||||
|
return story
|
||||||
|
|
||||||
|
def measure_story_height(story: list) -> float:
|
||||||
|
"""Calcule la hauteur totale cumulée du contenu."""
|
||||||
|
total_height = 0
|
||||||
|
for item in story:
|
||||||
|
_, h = item.wrap(USABLE_WIDTH, USABLE_HEIGHT)
|
||||||
|
total_height += h
|
||||||
|
return total_height
|
||||||
|
|
||||||
|
def generate_pdf(data: dict, output_path: str):
|
||||||
|
"""Calcule l'échelle optimale et génère le PDF."""
|
||||||
|
scale = 1.0
|
||||||
|
min_scale = 0.4
|
||||||
|
step = 0.03
|
||||||
|
|
||||||
|
# Ajustement dynamique jusqu'à ce que le contenu rentre sur 1 page
|
||||||
|
while scale >= min_scale:
|
||||||
|
styles = create_styles(scale)
|
||||||
|
story = build_story(data, styles, scale)
|
||||||
|
height = measure_story_height(story)
|
||||||
|
|
||||||
|
if height <= USABLE_HEIGHT:
|
||||||
|
break
|
||||||
|
scale -= step
|
||||||
|
|
||||||
|
critical_font_size = styles["body_font_size"]
|
||||||
|
|
||||||
|
# Alerte console si la police est sous le seuil critique
|
||||||
|
if critical_font_size < MINIMUM_POLICE_SIZE:
|
||||||
|
print(f"\n⚠️ [ALERTE TAILLE POLICE]")
|
||||||
|
print(f"La taille de police nécessaire ({critical_font_size:.1f}pt) est inférieure "
|
||||||
|
f"au seuil configuré ({MINIMUM_POLICE_SIZE}pt).")
|
||||||
|
choice = input("Voulez-vous quand même générer le fichier ? (o/N) : ").strip().lower()
|
||||||
|
if choice not in ['o', 'oui']:
|
||||||
|
print("Génération annulée.")
|
||||||
|
sys.exit(0)
|
||||||
|
|
||||||
|
# Document final
|
||||||
|
doc = SimpleDocTemplate(
|
||||||
|
output_path,
|
||||||
|
pagesize=A4,
|
||||||
|
leftMargin=MARGIN_X_PT,
|
||||||
|
rightMargin=MARGIN_X_PT,
|
||||||
|
topMargin=MARGIN_Y_PT,
|
||||||
|
bottomMargin=MARGIN_Y_PT
|
||||||
|
)
|
||||||
|
doc.build(story)
|
||||||
|
print(f"✅ CV généré avec succès : {output_path}")
|
||||||
@@ -0,0 +1,10 @@
|
|||||||
|
[project]
|
||||||
|
name = "cv-generator"
|
||||||
|
version = "0.1.0"
|
||||||
|
description = "Add your description here"
|
||||||
|
readme = "README.md"
|
||||||
|
requires-python = ">=3.14"
|
||||||
|
dependencies = [
|
||||||
|
"dotenv>=0.9.9",
|
||||||
|
"reportlab>=5.0.0",
|
||||||
|
]
|
||||||
@@ -0,0 +1,136 @@
|
|||||||
|
version = 1
|
||||||
|
revision = 3
|
||||||
|
requires-python = ">=3.14"
|
||||||
|
|
||||||
|
[[package]]
|
||||||
|
name = "charset-normalizer"
|
||||||
|
version = "3.4.9"
|
||||||
|
source = { registry = "https://pypi.org/simple" }
|
||||||
|
sdist = { url = "https://files.pythonhosted.org/packages/bd/2a/23f34ec9d04624958e137efdc394888716353190e75f25dd22c7a2c7a8aa/charset_normalizer-3.4.9.tar.gz", hash = "sha256:673611bbd43f0810bec0b0f028ddeaaa501190339cac411f347ac76917c3ae7b", size = 152439, upload-time = "2026-07-07T14:34:58.454Z" }
|
||||||
|
wheels = [
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/7e/8d/496817fa0944239ecae662dd57ea765cfeaec6a735f9f025d4b7b72e7143/charset_normalizer-3.4.9-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:0327fcd59a935777d83410750c50600ee9571af2846f71ce40f25b13da1ef380", size = 317253, upload-time = "2026-07-07T14:33:54.994Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/2b/f9/ef4a69ea338ad3c0deceea0f5f7d2380ae8b52132b06d652cb0d2cd86706/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a79d9f4d8001473a30c163556b3c3bfebec837495a412dde78b51672f6134f9", size = 215898, upload-time = "2026-07-07T14:33:56.334Z" },
|
||||||
|
{ url = "https://files.pythonhosted.org/packages/8c/e7/5ddfd76fc061eb52de219658a4aa431cbacadf0a0219c8854f00da50d289/charset_normalizer-3.4.9-cp314-cp314-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:33bdcc2a32c0a0e861f60841a512c8acc658c87c2ac59d89e3a46dacf7d866e4", size = 236718, upload-time = "2026-07-07T14:33:57.9Z" },
|
||||||
|
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{ url = "https://files.pythonhosted.org/packages/12/40/d306fc2c8e4d45d7f175c77edca7063be7b86fe7fe6e68f4353bf71d808c/pillow-12.3.0-cp315-cp315-macosx_10_15_x86_64.whl", hash = "sha256:dc624f6bc473dacdf7ef7eb8678d0d08edf15cd94fad6ae5c7d6cc67a4e4902f", size = 5350370, upload-time = "2026-07-01T11:55:44.028Z" },
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|
]
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|
|
||||||
|
[[package]]
|
||||||
|
name = "python-dotenv"
|
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|
version = "1.2.2"
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|
source = { registry = "https://pypi.org/simple" }
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|
sdist = { url = "https://files.pythonhosted.org/packages/82/ed/0301aeeac3e5353ef3d94b6ec08bbcabd04a72018415dcb29e588514bba8/python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3", size = 50135, upload-time = "2026-03-01T16:00:26.196Z" }
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|
wheels = [
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|
]
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|
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|
[[package]]
|
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|
name = "reportlab"
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|
version = "5.0.0"
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|
source = { registry = "https://pypi.org/simple" }
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|
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|
{ name = "charset-normalizer" },
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|
{ name = "pillow" },
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]
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wheels = [
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]
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Reference in New Issue
Block a user