From 82a88c55d46d3f135f871129562097c9ce1f226c Mon Sep 17 00:00:00 2001 From: Sulstice Date: Sun, 30 Apr 2023 12:33:57 -0400 Subject: [PATCH] ss-new-site: made adjustments --- README.md | 2 +- global_chem/convert_to_rdf.py | 43 - global_chem/graph.ttl | 9564 --------------------------------- linkedin.html | 280 + linkedin.py | 63 + test.json | 1 + 6 files changed, 345 insertions(+), 9608 deletions(-) delete mode 100644 global_chem/convert_to_rdf.py delete mode 100644 global_chem/graph.ttl create mode 100644 linkedin.html create mode 100644 linkedin.py create mode 100644 test.json diff --git a/README.md b/README.md index 8fe9ae4e..83c00716 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -

Organizing The Chemical Universe

+

Organizing The Chemical Universe

Global Chem is a public dictionary of common chemical lists using the Common Chemical Name as input and SMILES/SMARTS as output organized by their respective community in a knowledge graph. diff --git a/global_chem/convert_to_rdf.py b/global_chem/convert_to_rdf.py deleted file mode 100644 index a7877645..00000000 --- a/global_chem/convert_to_rdf.py +++ /dev/null @@ -1,43 +0,0 @@ -import rdflib -import csv -import pandas as pd - -if __name__ == '__main__': - - df = pd.read_csv('/Users/sulimansharif/projects/global-chem/global_chem/global_chem.tsv', delimiter='\t', header=None, names=['name', 'smiles', 'node', 'predicate', 'path']) - - # Create the graph object which holds the triples - graph = rdflib.Graph() - - for i, row in df.iterrows(): - s = rdflib.URIRef(f'#/{row["name"]}') - p = rdflib.URIRef("#connectsTo") - o = rdflib.URIRef(f'#/{row["node"]}') - graph.add((s, p, o)) - - for i, row in df.iterrows(): - - predicate = row['predicate'] - - if str(predicate) == 'nan': - predicate = 'miscellaenous' - - s = rdflib.URIRef(f'#/{row["node"]}') - p = rdflib.URIRef("#connectsTo") - o = rdflib.URIRef(f'#/{predicate}') - graph.add((s, p, o)) - - for i, row in df.iterrows(): - - predicate = row['predicate'] - - if str(predicate) == 'nan': - predicate = 'miscellaenous' - - s = rdflib.URIRef(f'#/{predicate}') - p = rdflib.URIRef("#connectsTo") - o = rdflib.URIRef(f'#/{"global-chem"}') - - graph.add((s, p, o)) - - graph.serialize(destination='graph.ttl', format='application/rdf+xml') diff --git a/global_chem/graph.ttl b/global_chem/graph.ttl deleted file mode 100644 index b1bc9b4f..00000000 --- a/global_chem/graph.ttl +++ /dev/null @@ -1,9564 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 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+ +
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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/linkedin.py b/linkedin.py new file mode 100644 index 00000000..fa7564f9 --- /dev/null +++ b/linkedin.py @@ -0,0 +1,63 @@ +import json +from linkedin_api import Linkedin +from bs4 import BeautifulSoup +import textwrap + +if __name__ == '__main__': + # + # file = json.load(open('/Users/sulimansharif/projects/global-chem/test.json', 'r')) + # + # soup = BeautifulSoup(open('/Users/sulimansharif/projects/global-chem/linkedin.html', 'r') , 'html.parser') + # + # for code in soup.find_all('code'): + # + # try: + # + # text = json.loads(code.text) + # for row in text['included']: + # if '*profile' in row: + # print(row['*profile'].split(':')[-1]) + # # print (text['included'][0].keys()) + # # if 'urn:li:collectionResponse' not in text: + # # print (text['data']) + # except: + # continue + + # profiles = file['included'] + # + # for profile in profiles[1:]: + # try: + # print (profile['profileUrn'].split(':')[-1]) + # except: + # continue + + api = Linkedin('sharifsuliman1@gmail.com', 'Makubex0@', authenticate=True, debug=True) + + profile = api.get_profile('jc-pacheco') + urn_id = profile['entityUrn'].split(':')[-1] + + company = api.search_people(connection_of=urn_id) + + recepients = [] + first_names = [] + + for people in company: + recepients.append(people['urn_id']) + first_names.append(people['name'].split(' ')[0]) + + for i, recepient in enumerate(recepients): + + message = ('''\ + Hi %s, + + My name is Sul and I am author of Global-Chem. An Open Source Government Knowledge graph of Common Chemical Names to 1-D Molecule. + + I recorded the chemicals for all 425 ingredients to Cannabis Sativa as a template chemical list. I think it would be useful to map the compositions of chemicals to their phylogeny for characterization of different strains. + + Would love to connect + ''' % first_names[i]) + + api.send_message( + textwrap.dedent(message), + recipients=[recepient] + ) diff --git a/test.json b/test.json new file mode 100644 index 00000000..d517e9bb --- /dev/null +++ b/test.json @@ -0,0 +1 @@ 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