英文:
Transform a json file into a pdf
问题
你应该将一个JSON文件转换为PDF。我在创建一个表格时遇到了困难，这个表格可以自动换行过长的项目，而不会溢出到右侧。
以下是你提供的JSON代码和Python实现：
import json
from fpdf import FPDF
import pandas as pd
with open('input.json') as f:
data = json.load(f)
pdf = FPDF()
pdf.add_page()
pdf.set_font('Arial', 'B', 16)
# 标题
pdf.cell(0, 10, '检查摘要', 0, 1)
pdf.set_font('Arial', '', 12)
df = pd.DataFrame(data['allIssues'])
df = df[['ruleId', 'description', 'help', 'impact', 'selector', 'summary', 'source']]
col_width = pdf.w / 2.2
row_height = pdf.font_size * 2
for issue in df.itertuples(index=False):
data = [
['ruleId:', str(issue.ruleId)],
['description:', issue.description],
['help:', issue.help],
['impact:', issue.impact],
['selector:', issue.selector],
['summary:', issue.summary],
['source:', issue.source],
]
# 绘制表格
for row in data:
pdf.multi_cell(col_width, row_height, str(row[0]), border=0)
pdf.multi_cell(col_width, row_height, str(row[1]), border=0)
pdf.ln(row_height)
# 在表格之间绘制线
pdf.line(10, pdf.get_y(), pdf.w - 10, pdf.get_y())
pdf.ln(row_height)
pdf.output('output.pdf', 'F')
你的实现中似乎有一个问题，导致文本溢出。要解决这个问题，你可以使用MultiCell方法来处理文本的自动换行，而不是MultiCell方法。在MultiCell方法中，你可以设置一个最大宽度，以确保文本自动换行。
要实现你想要的效果，可以尝试使用以下代码替换你的循环部分：
# Draw table
for row in data:
pdf.multi_cell(col_width, row_height, str(row[0]), border=0)
pdf.multi_cell(col_width, row_height, str(row[1]), border=0)
pdf.ln()
这应该允许文本自动换行并防止溢出到右侧。这样应该更接近你期望的效果。
希望这能帮助你实现你想要的PDF输出。
英文:
I should transform a json file into pdf. I'm having trouble creating a table that allows me to make items that are too long wrap automatically and not overflow to the right side.
I paste an example of the json code that I should transform into pdf and then my implementation in python (which unfortunately returns a bad result)
json code:
"allIssues":[
{
"ruleId":"name",
"description":"Description123",
"help":"Description234",
"impact":"critical",
"selector":[
"abc1234"
],
"summary":"long text",
"source":"long text2",
},
{
...
},
]
My python implementation:
import json
from fpdf import FPDF
import pandas as pd
with open('input.json') as f:
data = json.load(f)
pdf = FPDF()
pdf.add_page()
pdf.set_font('Arial', 'B', 16)
# Title
pdf.cell(0, 10, 'Inspection summary', 0, 1)
pdf.set_font('Arial', '', 12)
df = pd.DataFrame(data['allIssues'])
df = df[['ruleId', 'description', 'help', 'impact', 'selector', 'summary', 'source']]
col_width = pdf.w / 2.2
row_height = pdf.font_size * 2
for issue in df.itertuples(index=False):
data = [
['ruleId:', str(issue.ruleId)],
['description:', issue.description],
['help:', issue.help],
['impact:', issue.impact],
['selector:', issue.selector],
['summary:', issue.summary],
['source:', issue.source],
]
# Draw table
for row in data:
pdf.multi_cell(col_width, row_height, str(row[0]), border=0)
pdf.multi_cell(col_width, row_height, str(row[1]), border=0)
pdf.ln(row_height)
# Draw line between tables
pdf.line(10, pdf.get_y(), pdf.w - 10, pdf.get_y())
pdf.ln(row_height)
pdf.output('output.pdf', 'F')
This is a screenshot of the output:
This is what I'm trying to achive
Can you give me a hand? is it feasible to create something nice?
答案1
得分: 1
以下是翻译好的内容：
"There seems to be a lot of steps in your code. You could simply loop over the columns of your transposed df and export each of them to html. Append all html tables to a root html element and export with pdfkit:
import json
import pandas as pd
import lxml.etree as et
import pdfkit
your_json = """{"url": "https://www.abc123.com", "extensionVersion": "4.51.0", "axeVersion": "4.6.3", "standard": "WCAG 2.1 AA", "testingStartDate": "2023-04-03T09:35:06.177Z", "testingEndDate": "2023-04-03T09:35:06.177Z", "bestPracticesEnabled": false, "issueSummary": {"critical": 2, "moderate": 0, "minor": 0, "serious": 0, "bestPractices": 0, "needsReview": 0}, "remainingTestingSummary": {"run": false}, "igtSummary": [], "failedRules": [{"name": "button-name", "count": 1, "mode": "automated"}, {"name": "select-name", "count": 1, "mode": "automated"}], "needsReview": [], "allIssues": [{"ruleId": "button-name", "description": "Ensures buttons have discernible text", "help": "Buttons must have discernible text", "helpUrl": "https://www.abc123.com", "impact": "critical", "needsReview": false, "isManual": false, "selector": [".livechat-button"], "summary": "Fix any of the following:\\n Element does not have inner text that is visible to screen readers\\n aria-label attribute does not exist or is empty\\n aria-labelledby attribute does not exist, references elements that do not exist or references elements that are empty\\n Element has no title attribute\\n Element's default semantics were not overridden with role=\\"none\\" or role=\\"presentation\\"", "source": "<button class=\\"livechat-button items-center bg-black shadow-liveChat rounded-full text-white p-2 h-12 transition-all opacity-0 pointer-events-none w-sp-48 opacity-0 pointer-events-none\\">", "tags": ["cat.name-role-value", "wcag2a", "wcag412", "section508", "section508.22.a", "ACT"], "igt": "", "shareURL": "", "createdAt": "2023-04-03T09:35:06.177Z", "testUrl": "", "testPageTitle": "ABC123", "foundBy": "ab@bc.com", "axeVersion": "4.6.3"}, {"ruleId": "select-name", "description": "Ensures select element has an accessible name", "help": "Select element must have an accessible name", "helpUrl": "https://www.abc123.com", "impact": "critical", "needsReview": false, "isManual": false, "selector": ["#plp__sortSelected"], "summary": "Fix any of the following:\\n Form element does not have an implicit (wrapped) <label>\\n Form element does not have an explicit <label>\\n aria-label attribute does not exist or is empty\\n aria-labelledby attribute does not exist, references elements that do not exist or references elements that are empty\\n Element has no title attribute\\n Element's default semantics were not overridden with role=\\"none\\" or role=\\"presentation\\"", "source": "<select class=\\"w-full absolute opacity-0 appearance-none text-value-small font-bold text-black uppercase cursor-pointer bg-transparent outline-0\\" id=\\"plp__sortSelected\\">", "tags": ["cat.forms", "wcag2a", "wcag412", "section508", "section508.22.n", "ACT"], "igt": "", "shareURL": "", "createdAt": "2023-04-03T09:35:06.177Z", "testUrl": "https://www.abc123.com", "testPageTitle": "ABC123", "foundBy": "ab@bc.com", "axeVersion": "4.6.3"}]}""""
请注意，以上是代码部分，不进行翻译。
<details>
<summary>英文:</summary>
There seems to be a lot of steps in your code. You could simply loop over the columns of your transposed df and export each of them to html. Append all html tables to a root html element and export with `pdfkit`:
```python
import json
import pandas as pd
import lxml.etree as et
import pdfkit
your_json = """{"url": "https://www.abc123.com", "extensionVersion": "4.51.0", "axeVersion": "4.6.3", "standard": "WCAG 2.1 AA", "testingStartDate": "2023-04-03T09:35:06.177Z", "testingEndDate": "2023-04-03T09:35:06.177Z", "bestPracticesEnabled": false, "issueSummary": {"critical": 2, "moderate": 0, "minor": 0, "serious": 0, "bestPractices": 0, "needsReview": 0}, "remainingTestingSummary": {"run": false}, "igtSummary": [], "failedRules": [{"name": "button-name", "count": 1, "mode": "automated"}, {"name": "select-name", "count": 1, "mode": "automated"}], "needsReview": [], "allIssues": [{"ruleId": "button-name", "description": "Ensures buttons have discernible text", "help": "Buttons must have discernible text", "helpUrl": "https://www.abc123.com", "impact": "critical", "needsReview": false, "isManual": false, "selector": [".livechat-button"], "summary": "Fix any of the following:\\n Element does not have inner text that is visible to screen readers\\n aria-label attribute does not exist or is empty\\n aria-labelledby attribute does not exist, references elements that do not exist or references elements that are empty\\n Element has no title attribute\\n Element's default semantics were not overridden with role=\\"none\\" or role=\\"presentation\\"", "source": "<button class=\\"livechat-button items-center bg-black shadow-liveChat rounded-full text-white p-2 h-12 transition-all opacity-0 pointer-events-none w-sp-48 opacity-0 pointer-events-none\\">", "tags": ["cat.name-role-value", "wcag2a", "wcag412", "section508", "section508.22.a", "ACT"], "igt": "", "shareURL": "", "createdAt": "2023-04-03T09:35:06.177Z", "testUrl": "", "testPageTitle": "ABC123", "foundBy": "ab@bc.com", "axeVersion": "4.6.3"}, {"ruleId": "select-name", "description": "Ensures select element has an accessible name", "help": "Select element must have an accessible name", "helpUrl": "https://www.abc123.com", "impact": "critical", "needsReview": false, "isManual": false, "selector": ["#plp__sortSelected"], "summary": "Fix any of the following:\\n Form element does not have an implicit (wrapped) <label>\\n Form element does not have an explicit <label>\\n aria-label attribute does not exist or is empty\\n aria-labelledby attribute does not exist, references elements that do not exist or references elements that are empty\\n Element has no title attribute\\n Element's default semantics were not overridden with role=\\"none\\" or role=\\"presentation\\"", "source": "<select class=\\"w-full absolute opacity-0 appearance-none text-value-small font-bold text-black uppercase cursor-pointer bg-transparent outline-0\\" id=\\"plp__sortSelected\\">", "tags": ["cat.forms", "wcag2a", "wcag412", "section508", "section508.22.n", "ACT"], "igt": "", "shareURL": "", "createdAt": "2023-04-03T09:35:06.177Z", "testUrl": "https://www.abc123.com", "testPageTitle": "ABC123", "foundBy": "ab@bc.com", "axeVersion": "4.6.3"}]}"""
data = json.loads(your_json)
## replace the above lines with the following in your case
# with open('your_file.json', 'r') as f:
# data = json.load(f)
html = et.Element("html")
# general info
html.append(et.fromstring(f"""<h3>Site link: <a href="{data['url']}">{data['url']}</a></h3>"""))
html.append(et.fromstring(f"""<h4>Date: {data['testingEndDate']}</h4>"""))
html.append(et.fromstring(f"""<h4>Summary:</h4>"""))
# summary table
summary = pd.Series(data['issueSummary'])
summary_table = et.fromstring(summary.to_frame().to_html(header=False))
summary_table.set('class', 'summary')
html.append(summary_table)
# issue tables
cols_of_interest = ['ruleId', 'description', 'help', 'impact', 'selector', 'summary', 'source']
df = pd.DataFrame(data['allIssues'])[cols_of_interest].T
for col in df.columns:
table = et.fromstring(df[[col]].to_html(header=False))
table.set('class', 'issue')
html.append(table)
html.append(et.fromstring('<br/>'))
pdfkit.from_string(et.tostring(html, encoding="unicode"), "./output.pdf", css='style.css')
With the following css file:
/* style.css */
* {
font-family: 'Liberation Sans';
}
table {
margin: 20px;
margin-left: auto;
margin-right: auto;
}
table.summary {
width: 50%;
}
table.issue{
border: 0;
width: 100%;
border-collapse: collapse;
}
table.issue td,
table.issue th {
border: 0;
text-align: left;
padding: 5px;
}
table.issue tr {
border-bottom: 1px solid #dddddd;
}
You'll get:
Edit: updated json with the data you provided + exporting additional data + improved css
Note: you will need to install wkhtmltopdf and make sure that it is in your path.
Edit2: limiting output to desired fields
答案2
得分: 0
免责声明: 我是这个答案中使用的 borb 库的作者。
假设您的数据如下所示：
data = [
{
"ruleId":"name",
"description":"Description123",
"help":"Description234",
"impact":"critical",
"selector":[
"abc1234"
],
"summary":"long text",
"source":"long text2",
},
]
您可以运行以下代码：
from borb.pdf import Document, Page, PageLayout, SingleColumnLayout, Paragraph, HexColor, Table, TableUtil
from decimal import Decimal
# 创建一个空文档
doc: Document = Document()
# 创建一个空页面
page: Page = Page()
doc.add_page(page)
# 使用 PageLayout 来方便地添加内容
layout: PageLayout = SingleColumnLayout(page)
# 为每个问题生成一个表格
for i, issue in enumerate(data):
# 添加标题 (段落)
layout.add(Paragraph("Issue %d" % i, font_size=Decimal(20), font_color=HexColor("#B5F8FE")))
# 添加表格 (使用方便的 TableUtil 类)
table: Table = TableUtil.from_2d_array([["Rule ID", issue.get("ruleId", "N.A.")],
["Description", issue.get("description", "N.A.")],
["Help", issue.get("help", "N.A.")],
["Impact", issue.get("impact", "N.A.")],
["Selector", str(issue.get("selector", []))],
["Summary", issue.get("summary", "N.A.")],
["Source", issue.get("source", "N.A.")],
], header_row=False, header_col=True, flexible_column_width=False)
layout.add(table)
# 存储为 PDF
with open("output.pdf", "wb") as fh:
PDF.dumps(fh, doc)
这将生成以下 PDF：
英文:
disclaimer: I am the author of borb, the library used in this answer.
Assuming your data looks like this:
data = [
{
"ruleId":"name",
"description":"Description123",
"help":"Description234",
"impact":"critical",
"selector":[
"abc1234"
],
"summary":"long text",
"source":"long text2",
},
]
You can run the following code:
from borb.pdf import Document, Page, PageLayout, SingleColumnLayout, Paragraph, HexColor, Table, TableUtil
from decimal import Decimal
# create empty document
doc: Document = Document()
# create empty page
page: Page = Page()
doc.add_page(page)
# use a PageLayout to be able to add things easily
layout: PageLayout = SingleColumnLayout(page)
# generate a Table for each issue
for i, issue in enumerate(data):
# add a header (Paragraph)
layout.add(Paragraph("Issue %d" % i, font_size=Decimal(20), font_color=HexColor("#B5F8FE")))
# add a Table (using the convenient TableUtil class)
table: Table = TableUtil.from_2d_array([["Rule ID", issue.get("ruleId", "N.A.")],
["Description", issue.get("description", "N.A.")],
["Help", issue.get("help", "N.A.")],
["Impact", issue.get("impact", "N.A.")],
["Selector", str(issue.get("selector", []))],
["Summary", issue.get("summary", "N.A.")],
["Source", issue.get("source", "N.A.")],
], header_row=False, header_col=True, flexible_column_width=False)
layout.add(table)
# store the PDF
with open("output.pdf", "wb") as fh:
PDF.dumps(fh, doc)
This generates the following PDF:
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