uploading project

README.md

-# experiments
+# Code experiments
 
-
-
-## Getting started
-
-To make it easy for you to get started with GitLab, here's a list of recommended next steps.
-
-Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
-
-## Add your files
-
-- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
-- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
-
-```
-cd existing_repo
-git remote add origin https://gitlab.gwdg.de/boulanger/experiments.git
-git branch -M main
-git push -uf origin main
-```
-
-## Integrate with your tools
-
-- [ ] [Set up project integrations](https://gitlab.gwdg.de/boulanger/experiments/-/settings/integrations)
-
-## Collaborate with your team
-
-- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
-- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
-- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
-- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
-- [ ] [Set auto-merge](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
-
-## Test and Deploy
-
-Use the built-in continuous integration in GitLab.
-
-- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
-- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing (SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
-- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
-- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
-- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
-
-***
-
-# Editing this README
-
-When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to [makeareadme.com](https://www.makeareadme.com/) for this template.
-
-## Suggestions for a good README
-
-Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
-
-## Name
-Choose a self-explaining name for your project.
-
-## Description
-Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
-
-## Badges
-On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
-
-## Visuals
-Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
-
-## Installation
-Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
-
-## Usage
-Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
-
-## Support
-Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
-
-## Roadmap
-If you have ideas for releases in the future, it is a good idea to list them in the README.
-
-## Contributing
-State if you are open to contributions and what your requirements are for accepting them.
-
-For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
-
-You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
-
-## Authors and acknowledgment
-Show your appreciation to those who have contributed to the project.
-
-## License
-For open source projects, say how it is licensed.
-
-## Project status
-If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
+This repo contains various small projects with small experiments
\ No newline at end of file

german-law-journal-network/.env.dist

+KB_HOST='biblio-p-db03.fiz-karlsruhe.de'
+KB_DB='kbprod'
+KB_PORT=6432
+KB_USER='username'
+KB_PASS='password'
+CROSSREF_EMAIL='youremail@yourdomain.org'
+OPENAI_API_KEY=''
\ No newline at end of file

german-law-journal-network/.gitignore

+../.idea
+!.gitignore
+!.env.dist
\ No newline at end of file

german-law-journal-network/data/.gitignore

+zdb-*.json

german-law-journal-network/lib/crossref.py

+import os
+
+import requests
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def get_dois_years(issn):
+    url = f"https://api.crossref.org/journals/{issn}"
+    email = os.getenv('CROSSREF_EMAIL')
+    headers = {'User-Agent': f'Python-requests/2.23.0 (mailto:{email})'}
+    response = requests.get(url, headers=headers)
+
+    # Check if the request was successful
+    if response.status_code == 404:
+        return None
+
+    data = response.json()
+
+    # Extract the array of [year, number of DOIs]
+    years_info = data.get("message", {}).get("breakdowns", {}).get("dois-by-issued-year", [])
+
+    if not years_info:
+        return ""
+
+    # Sort the years_info by year
+    years_info.sort(key=lambda x: x[0])
+
+    # Initialize variables for tracking
+    years_list = []
+    start_year = None
+    last_year = None
+
+    for year, _ in years_info:
+        if start_year is None:
+            # This is the first year in a sequence
+            start_year = year
+            last_year = year
+        elif year == last_year + 1:
+            # This year is a continuation of the sequence
+            last_year = year
+        else:
+            # This year is not a continuation; close the previous sequence and start a new one
+            years_list.append(f"{start_year}-{last_year}")
+            start_year = year
+            last_year = year
+
+    # Add the last sequence to the list
+    years_list.append(f"{start_year}-{last_year}")
+
+    return ", ".join(years_list)
+
+

german-law-journal-network/lib/google.py

+# written with help from ChatGPT-4 and using code from the googlesearch python module
+# (see https://github.com/Nv7-GitHub/googlesearch)
+
+import requests
+import re
+import random
+from requests.exceptions import HTTPError, ConnectionError
+from time import sleep
+from bs4 import BeautifulSoup
+from pypdf import PdfReader
+from io import BytesIO
+
+
+def get_useragent():
+    return random.choice(_useragent_list)
+
+
+_useragent_list = [
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
+    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36',
+    'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36 Edg/111.0.1661.62',
+    'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/111.0'
+]
+
+
+def _req(term, results, lang, start, proxies, timeout, retry=3, delay_before_retry=5, filetype: str = "html"):
+    while retry > 0:
+        try:
+            resp = requests.get(
+                url="https://www.google.com/search",
+                headers={
+                    "User-Agent": get_useragent()
+                },
+                params={
+                    "q": term,
+                    "num": results + 2,  # Prevents multiple requests
+                    "hl": lang,
+                    "start": start,
+                    "filetype": filetype
+                },
+                proxies=proxies,
+                timeout=timeout
+            )
+            resp.raise_for_status()
+            return resp
+
+        except ConnectionError as err:
+            print(f'Connection error: {err}. Retrying in {delay_before_retry} seconds.')
+            retry -= 1
+            sleep(delay_before_retry)
+
+    raise ConnectionError("Too many retries.")
+
+
+def _search(term, num_results=10, lang="en", proxies=None, sleep_interval=0, timeout=5, retry=3, delay_before_retry=5):
+    """The Google search implementation """
+
+    escaped_term = term.replace(" ", "+")
+
+    # Fetch
+    start = 0
+    while start < num_results:
+        # Send request
+        resp = _req(escaped_term, num_results - start, lang, start, proxies, timeout, retry=retry,
+                    delay_before_retry=delay_before_retry)
+        # Parse
+        soup = BeautifulSoup(resp.text, "html.parser")
+        result_block = soup.find_all("div", attrs={"class": "g"})
+        found_valid_result = False
+        for result in result_block:
+            # Find link, title, description
+            link = result.find("a", href=True)
+            title = result.find("h3")
+            description_box = result.find("div", {"style": "-webkit-line-clamp:2"})
+            if description_box:
+                description = description_box.text
+                if link and title and description:
+                    start += 1
+                    found_valid_result = True
+                    yield link["href"]
+                    break
+        if not found_valid_result:
+            break
+
+        sleep(sleep_interval)
+
+
+def run_google_search(query, num_results=3, lang="en", sleep_interval=4, exclude: list = None, timeout=10,
+                      proxy=None, verbose: bool = False) -> list:
+    """
+    Fetches and returns search results for a given query.
+
+    This function sends a request to a search engine using the specified parameters and retrieves the text content of
+    the search results. It avoids URLs listed in the 'exclude' parameter.
+
+    Parameters:
+    - query (str): The Google search query.
+    - num_results (int, optional): The number of search results to retrieve. Defaults to 3.
+    - lang (str, optional): The language for the search results. Defaults to "en" (English).
+    - sleep_interval (int, optional): The delay in seconds between requests of additional result pages
+      to avoid hitting rate limits. Defaults to 2 seconds.
+    - max_char (int, optional): The maximum number of characters to fetch from the search results. Defaults to 8000.
+    - exclude (list, optional): A list of regular expressions representing URLs to exclude from the search results.
+    - timeout (int, optional): the timeout for the http query
+
+    Returns:
+    - A list of urls of length `num_results`
+
+    """
+
+    if verbose:
+        print(f'Searching google for {query}...')
+
+    proxies = None
+    if proxy:
+        if proxy.startswith("https"):
+            proxies = {"https": proxy}
+        else:
+            proxies = {"http": proxy}
+
+    urls = _search(query, num_results=num_results, lang=lang, sleep_interval=sleep_interval, timeout=timeout,
+                   proxies=proxies)
+
+    if exclude is None:
+        exclude = []
+    return [url for url in urls if not any(re.search(e, url) for e in exclude)]
+
+
+def clean_text(text):
+    # Remove extra whitespace and empty lines
+    cleaned_text = "\n".join(line.strip() for line in text.splitlines() if line.strip())
+    return cleaned_text
+
+
+def download(url: str, max_char: int = 8000, timeout: int = 10, retry: int = 3, delay_before_retry: int = 5,
+             verbose: bool = False) -> str | None:
+    if verbose:
+        print(f'Downloading content of {url}...')
+    _retry = retry
+    while _retry > 0:
+        try:
+            response = requests.get(
+                url=url,
+                headers={
+                    "User-Agent": get_useragent()
+                },
+                timeout=timeout)
+            response.raise_for_status()
+
+            content_type = response.headers.get('Content-Type', '').split(';')[0]  # Extract the primary content type
+
+            match content_type:
+                case 'application/pdf':
+                    reader = PdfReader(BytesIO(response.content))
+                    first_page_content = reader.pages[0].extract_text()
+                    return first_page_content[:max_char]
+
+                case 'text/html':
+                    soup = BeautifulSoup(response.text, "html.parser")
+                    full_text = soup.get_text()
+                    full_text = clean_text(full_text)
+                    return full_text[:max_char]
+
+                case _:
+                    print(f"Cannot parse {content_type}")
+                    return None
+
+        except ConnectionError as err:
+            print(f'Connection error: {err}. Retrying in {delay_before_retry} seconds.')
+            _retry -= 1
+            sleep(delay_before_retry)
+        except HTTPError as err:
+            if err.response.status_code == 403:
+                print("Got 403 (Forbidden) error. Skipping...")
+                return None
+            raise RuntimeError(f"Error: {err.response.status_code} {err.response.reason}:\n{err.response.text}")

german-law-journal-network/lib/kb.py

+# written by ChatGPT4
+from dotenv import load_dotenv
+load_dotenv()
+
+import os
+import psycopg2
+import pandas as pd
+
+
+def run_query(query, parameters=None):
+    # Check if query is a path to a SQL file
+    if os.path.isfile(query) and query.endswith('.sql'):
+        with open(query, 'r') as file:
+            query = file.read()
+
+    # Retrieve database connection info from the environment variables
+    host = os.environ.get('KB_HOST')
+    dbname = os.environ.get('KB_DB')
+    port = os.environ.get('KB_PORT')
+    user = os.environ.get('KB_USER')
+    password = os.environ.get('KB_PASS')
+
+    # Connect to the database
+    conn = psycopg2.connect(
+        host=host,
+        dbname=dbname,
+        port=port,
+        user=user,
+        password=password
+    )
+
+    # Create a cursor object
+    cursor = conn.cursor()
+
+    # Execute the query
+    cursor.execute(query, parameters)
+
+    # If it's a SELECT query, fetch the results and display them
+    if query.strip().lower().startswith('select'):
+        # Fetch the results
+        result = cursor.fetchall()
+
+        # Get column names
+        column_names = [desc[0] for desc in cursor.description]
+
+        # Create a pandas DataFrame for better display in Jupyter Notebook
+        df = pd.DataFrame(result, columns=column_names)
+        display_result = df
+    else:
+        # Commit the changes if it's not a SELECT query
+        conn.commit()
+        display_result = None
+
+    # Close the cursor and connection
+    cursor.close()
+    conn.close()
+
+    return display_result

german-law-journal-network/lib/lobid.py

+# written with the help of ChatGPT4
+import requests
+import time
+import json
+from requests import Response
+
+
+def _query_lobid_api(url, params: dict = None, headers: dict = None):
+    for attempt in range(4):  # Try up to four times (initial + 3 retries)
+        try:
+            response: Response = requests.get(url, params=params, headers=headers, timeout=10)
+            response.raise_for_status()  # This will raise an HTTPError if the HTTP request returned an unsuccessful status code
+            result = response.json()
+            with open('tmp/lobid-result.json', "w", encoding="utf-8") as f:
+                json.dump(result, f, indent=2)
+            return result
+
+        except requests.exceptions.HTTPError as http_err:
+            raise Exception(f"HTTP error occurred: {http_err}") from None
+        except requests.exceptions.Timeout:
+            if attempt == 3:  # Give up after 3 retries
+                raise Exception("Maximum retry attempts reached after timeout") from None
+            time.sleep(2)  # Wait for 2 seconds before retrying
+        except requests.exceptions.RequestException as err:
+            raise Exception(f"Error occurred during request: {err}") from None
+        except ValueError as json_err:
+            raise Exception(f"JSON decoding error: {json_err}\nResponse text: {response.text}") from None
+
+    return None  # In case the loop completes without returning
+
+
+def run_query(query: str, fields: list = None):
+    # clean up query
+    query = query.strip().replace("\n", " ")
+
+    # Endpoint for the lobid.org API
+    url = 'http://lobid.org/resources/search'
+
+    # prepare and run query
+    params = {
+        'q': query,
+        'format': "json"
+    }
+    headers = {
+        'Accept': 'application/x-jsonlines'
+    }
+
+    result = _query_lobid_api(url, params, headers)
+    member = result['member']
+    return [({k: _dig(r, k) for k in fields} if fields else r) for r in member]
+
+
+def _dig(dictionary, path, *additional_keys):
+    # Split the path if it's a string, otherwise use it as-is
+    keys = path.split('.') if isinstance(path, str) else [path]
+
+    # Add any additional keys from *additional_keys
+    keys.extend(additional_keys)
+
+    current_level = dictionary
+    for key in keys:
+        if isinstance(current_level, dict) and key in current_level:
+            current_level = current_level[key]
+        elif isinstance(current_level, list) and key.isdecimal():
+            current_level = current_level[int(key)]
+        else:
+            return None
+    return current_level
+
+
+def get_resource(resource_id: str, fields: list = None):
+    if resource_id.startswith("http"):
+        resource_id = resource_id.replace('#', '').replace('!', '')
+        url = f'{resource_id}.json'
+    else:
+        url = f'http://lobid.org/resources/{resource_id}.json'
+    # run query and return (filtered) result
+    result: dict = _query_lobid_api(url)
+    return ({k: _dig(result, k) for k in fields}) if fields else result
+
+#%%

german-law-journal-network/lib/openai.py

+# written with help from ChatGPT-4
+
+import requests
+import json
+import os
+import time
+import re
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def query_openai_api(model, instruction, user_input, max_tokens=1000,
+                     temperature=1, top_p=1, frequency_penalty=0,
+                     presence_penalty=0, timeout=60, max_retries=3, retry_delay=5, verbose=False):
+    """
+    Send a request to the OpenAI API with automatic message composition.
+
+    Args:
+        model (str): The model to use for the request (e.g., 'gpt-3.5-turbo').
+        instruction (str): The instruction or context for the system message.
+        user_input (str): The user's input message.
+        max_tokens (int, optional): The maximum number of tokens to generate. Defaults to 8192.
+        temperature (float, optional): The sampling temperature to use. Defaults to 1.
+        top_p (float, optional): The nucleus sampling (top-p) parameter. Defaults to 1.
+        frequency_penalty (float, optional): The frequency penalty parameter. Defaults to 0.
+        presence_penalty (float, optional): The presence penalty parameter. Defaults to 0.
+        timeout (int, optional): The maximum number of seconds to wait for an answer from the API. Defaults to 60
+        max_retries (int, optional): The maximum number of retry attempts. Defaults to 3.
+        retry_delay (int, optional): The delay in seconds before retrying a request. Defaults to 5.
+
+    Returns:
+        str: The response from the model
+
+    Throws:
+        ValueError: If the no API key has been set in the environment variables or any of the parameters are of the wrong type
+        RuntimeError if the request fails after the given number of retries or a different GPT-4 related error occurred
+    """
+    api_key = os.getenv("OPENAI_API_KEY")
+
+    if not api_key:
+        raise ValueError("API key not found. Please check your .env file.")
+
+    if not model.lower().startswith("gpt"):
+        raise ValueError("The provided model is not compatible with the OpenAI chat API.")
+
+    if type(instruction) is not str or type(user_input) is not str:
+        raise ValueError("Instruction and user input must be a string")
+
+    if model == "gpt-4":
+        url = "https://api.openai.com/v1/chat/completions"
+        messages = [
+            {"role": "system", "content": instruction},
+            {"role": "user", "content": user_input}
+        ]
+        data = {
+            "model": model,
+            "messages": messages,
+            "max_tokens": max_tokens,
+            "temperature": temperature,
+            "top_p": top_p,
+            "frequency_penalty": frequency_penalty,
+            "presence_penalty": presence_penalty
+        }
+    elif model.startswith("gpt-3.5-"):
+        url = "https://api.openai.com/v1/engines/" + model + "/completions"  # Modify this URL if needed
+        prompt = f"{instruction}\n\n{user_input}"
+        data = {
+            "prompt": prompt,
+            "max_tokens": max_tokens,
+            "temperature": temperature,
+            "top_p": top_p,
+            "frequency_penalty": frequency_penalty,
+            "presence_penalty": presence_penalty
+        }
+    else:
+        raise ValueError("Unsupported model. Please use 'gpt-4' or a model starting with 'gpt-3.5-'.")
+
+    json_data = json.dumps(data)
+
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+
+    for attempt in range(1, max_retries + 1):
+        try:
+            response = requests.post(url, data=json_data, headers=headers, timeout=timeout)
+
+            if response.status_code == 200:
+                content = response.json()
+                if model == "gpt-4":
+                    message = content['choices'][0]['message']
+                    return message['content']
+                elif model.startswith("gpt-3.5-"):
+                    return content['choices'][0]['text']
+            else:
+                error_info = response.json().get('error', {})
+
+                if response.status_code == 429 and error_info.get('code') == 'rate_limit_exceeded':
+                    retry_after_match = re.search(r"Please try again in (\d+(\.\d+)?)s", error_info['message'])
+                    if retry_after_match:
+                        retry_after = float(retry_after_match.group(1))
+                        if verbose:
+                            print(f"Rate limit exceeded. Retrying after {retry_after} seconds.")
+                        time.sleep(retry_after)
+                        continue  # Continue the loop to retry the request
+
+                # Check if token budget is exhausted
+                if response.status_code == 429 and error_info.get('code') == "insufficient_quota":
+                    raise RuntimeError("OpenAI token budget has been exhausted.")
+
+                # Other error
+                raise RuntimeError(f"Error response from OpenAI: {response.text}")
+
+        except requests.exceptions.RequestException:
+            if verbose:
+                print(f"Request timeout or other error. Attempt {attempt} of {max_retries}")
+
+        if attempt < max_retries:
+            time.sleep(retry_delay)
+
+    raise RuntimeError("Too many retries.")

german-law-journal-network/lib/wikidata.py

+# written by ChatGPT4
+import requests
+import time
+
+def run_query(query):
+    url = 'https://query.wikidata.org/sparql'
+    headers = {
+        'User-Agent': 'CoolBot/0.0 (https://example.org/coolbot/; coolbot@example.org)'
+    }
+
+    for attempt in range(4):  # Try up to four times (initial + 3 retries)
+        try:
+            response = requests.get(url, params={'format': 'json', 'query': query}, headers=headers, timeout=10)
+            response.raise_for_status()  # This will raise an HTTPError if the HTTP request returned an unsuccessful status code
+            return response.json()
+
+        except requests.exceptions.HTTPError as http_err:
+            raise Exception(f"HTTP error occurred: {http_err}") from None
+        except requests.exceptions.Timeout:
+            if attempt == 3:  # Give up after 3 retries
+                raise Exception("Maximum retry attempts reached after timeout") from None
+            time.sleep(2)  # Wait for 2 seconds before retrying
+        except requests.exceptions.RequestException as err:
+            raise Exception(f"Error occurred during request: {err}") from None
+        except ValueError as json_err:
+            raise Exception(f"JSON decoding error: {json_err}\nResponse text: {response.text}") from None
+
+    return None  # In case the loop completes without returning
+
+

german-law-journal-network/scripts/download-lobid-law-issn.sh

+# construct URL
+LOBID_ENDPOINT="http://lobid.org/resources/search"
+P_Q='inCollection.id:"http://lobid.org/resources/HT014846970#!" AND _exists_:issn AND language.label:deutsch'
+P_NESTED='subject:subject.notation:340 AND subject.source.id:"https://d-nb.info/gnd/4149423-4"'
+LOBID_URL="${LOBID_ENDPOINT}?q=$(jq -nr --arg str "${P_Q}" '$str|@uri')&nested=$(jq -nr --arg str "${P_NESTED}" '$str|@uri')"
+
+# execute http request if file hasn't been already downloaded
+[ -f data/zdb-ger-law-issn-all.json ] || curl -H "Accept: application/x-jsonlines" $LOBID_URL > data/zdb-ger-law-issn-all.json
+
+# convert JSONLines into json and select wanted fields
+JQ_CMD='
+[ .[] | {
+  id: .id,
+  title: .title,
+  issn: (.issn | join(" ")),
+  alternativeTitle: (if .alternativeTitle then (.alternativeTitle | join("; ")) else null end),
+  otherTitleInformation: (if .otherTitleInformation then (.otherTitleInformation | join("; ")) else null end),
+  shortTitle: (if .shortTitle then (.shortTitle | join("; ")) else null end),
+}]'
+cat data/zdb-ger-law-issn-all.json | jq -cs '.' | jq -r "${JQ_CMD}" > data/zdb-ger-law-issn.json
+
+# convert JSON array into CSV
+JQ_JSON_TO_CSV='(map(keys) | add | unique) as $cols | map(. as $row | $cols | map($row[.])) as $rows | $cols, $rows[] | @csv'
+cat data/zdb-ger-law-issn.json | jq -r "${JQ_JSON_TO_CSV}" > data/zdb-ger-law-issn.csv
+