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Panama Papers Import Scripts for Neo4j
export NEO4J_HOME=${NEO4J_HOME-~/Downloads/neo4j-community-3.0.1}
if [ ! -f data-csv.zip ]; then
curl -OL https://cloudfront-files-1.publicintegrity.org/offshoreleaks/data-csv.zip
fi
export DATA=${PWD}/import
rm -rf $DATA
unzip -o -j data-csv.zip -d $DATA
wc -l $DATA/*.csv
tr -d '\\' < $DATA/Addresses.csv > $DATA/Addresses_fixed.csv
for i in $DATA/[AIEO]*.csv; do echo $i; sed -i '' -e '1,1 s/node_id/node_id:ID/' $i; done
sed -i '' -e '1 d' $DATA/all_edges.csv
tr '[:lower:]' '[:upper:]' < $DATA/all_edges.csv | sed -e 's/[^A-Z0-9,_ ]//g' -e 's/ */_/g' -e 's/,_/_/g' > $DATA/all_edges_cleaned.csv
echo 'node_id:START_ID,rel_type:TYPE,node_id:END_ID' > $DATA/all_edges_header.csv
rm -rf $DATA/panama.db
head -1 $DATA/*.csv
$NEO4J_HOME/bin/neo4j-import --into $DATA/panama.db --nodes:Address $DATA/Addresses_fixed.csv --nodes:Entity $DATA/Entities.csv --nodes:Intermediary $DATA/Intermediaries.csv --nodes:Officer $DATA/Officers.csv \
--relationships $DATA/all_edges_header.csv,$DATA/all_edges_cleaned.csv --ignore-empty-strings true --skip-duplicate-nodes true --skip-bad-relationships true --bad-tolerance 1000000 --multiline-fields=true
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n) RETURN count(*) as nodes;'
x$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n) RETURN labels(n),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n) RETURN count(*) as nodes;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH ()-[r]->() RETURN type(r),r.detail,count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN collect(distinct labels(n)),type(r),collect(distinct labels(m)),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN collect(distinct labels(n)),type(r),labels(m),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN labels(n),type(r),collect(distinct labels(m)),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN labels(n),type(r),labels(m),count(*) ORDER BY count(*) DESC;'
# IMPORT DONE in 23s 391ms. Imported:
# 839434 nodes
# 1269796 relationships
# 8211010 properties
export NEO4J_HOME=${NEO4J_HOME-~/Downloads/neo4j-community-3.0.1}
if [ ! -f data-csv.zip ]; then
echo Downloading ...
curl -OL https://cloudfront-files-1.publicintegrity.org/offshoreleaks/data-csv.zip
fi
# Need full path due to BUG in import tool with relative paths
export DATA=${PWD}/import
echo Extracting, Preparing, Cleaning up data ...
unzip -o -j data-csv.zip -d $DATA
tr -d '\\' < $DATA/Addresses.csv > $DATA/Addresses_fixed.csv
sed -i '' -e '1,1 s/node_id/node_id:ID(Address)/' $DATA/Addresses_fixed.csv
sed -i '' -e '1,1 s/node_id/node_id:ID(Officer)/' $DATA/Officers.csv
sed -i '' -e '1,1 s/node_id/node_id:ID(Entity)/' $DATA/Entities.csv
sed -i '' -e '1,1 s/node_id/node_id:ID(Intermediary)/' $DATA/Intermediaries.csv
sed -i '' -e '1 d' $DATA/all_edges.csv
for i in Entity Officer Intermediary; do
echo "node_id:START_ID($i),detail:IGNORE,node_id:END_ID(Address)" > $DATA/registered_address_$i.csv
done
grep ',registered address,' $DATA/all_edges.csv > $DATA/registered_address.csv
for i in Officer Intermediary; do
for j in Officer Intermediary; do
echo "node_id:START_ID(${i}),detail:IGNORE,node_id:END_ID(${j})" > $DATA/similar_${i}_${j}.csv
done
done
grep ',similar name and address as,' $DATA/all_edges.csv > $DATA/similar.csv
echo 'node_id:START_ID(Entity),detail,node_id:END_ID(Entity)' > $DATA/related.csv
grep ',\(related entity\|same name and registration date as\),' $DATA/all_edges.csv >> $DATA/related.csv
for i in Entity Intermediary; do
echo "node_id:START_ID(Officer),detail,node_id:END_ID($i)" > $DATA/officer_of_$i.csv
done
tr '[:upper:]' '[:lower:]' < $DATA/all_edges.csv | grep -v ',\(intermediary of\|registered address\|similar name and address as\|same name and registration date as\|same address as\|related entity\),' > $DATA/officer_of.csv
for i in Entity; do
echo "node_id:START_ID(Intermediary),detail,node_id:END_ID($i)" > $DATA/intermediary_of_$i.csv
done
sed -e 's/,intermediary of,/,,/' < $DATA/all_edges.csv > $DATA/intermediary_of.csv
echo CSV Overview ...
head -1 $DATA/*.csv
echo Importing ...
rm -rf $DATA/panama.db; $NEO4J_HOME/bin/neo4j-import --into $DATA/panama.db --nodes:Address $DATA/Addresses_fixed.csv --nodes:Entity $DATA/Entities.csv --nodes:Intermediary $DATA/Intermediaries.csv --nodes:Officer $DATA/Officers.csv \
--relationships:REGISTERED_ADDRESS $DATA/registered_address_Officer.csv,$DATA/registered_address.csv \
--relationships:REGISTERED_ADDRESS $DATA/registered_address_Entity.csv,$DATA/registered_address.csv \
--relationships:REGISTERED_ADDRESS $DATA/registered_address_Intermediary.csv,$DATA/registered_address.csv \
--relationships:RELATED $DATA/related.csv \
--relationships:OFFICER_OF $DATA/officer_of_Entity.csv,$DATA/officer_of.csv \
--relationships:OFFICER_OF $DATA/officer_of_Intermediary.csv,$DATA/officer_of.csv \
--relationships:INTERMEDIARY_OF $DATA/intermediary_of_Entity.csv,$DATA/intermediary_of.csv \
--relationships:SIMILAR $DATA/similar_Officer_Officer.csv,$DATA/similar.csv \
--relationships:SIMILAR $DATA/similar_Officer_Intermediary.csv,$DATA/similar.csv \
--relationships:SIMILAR $DATA/similar_Intermediary_Officer.csv,$DATA/similar.csv \
--relationships:SIMILAR $DATA/similar_Intermediary_Intermediary.csv,$DATA/similar.csv \
--ignore-empty-strings true --skip-duplicate-nodes true --skip-bad-relationships true --bad-tolerance 10000000 --multiline-fields=true
echo Imported Data Overview ...
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n) RETURN count(*) as nodes;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH ()-->() RETURN count(*) as relationships;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n) RETURN labels(n),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN labels(n),type(r),labels(m),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN collect(distinct labels(n)),type(r),collect(distinct labels(m)),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN collect(distinct labels(n)),type(r),labels(m),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH (n)-[r]->(m) RETURN labels(n),type(r),collect(distinct labels(m)),count(*) ORDER BY count(*) DESC;'
$NEO4J_HOME/bin/neo4j-shell -path $DATA/panama.db -c 'MATCH ()-[r]->() RETURN type(r),r.detail,count(*) ORDER BY count(*) DESC;'
# IMPORT DONE in 23s 361ms. Imported:
# 839434 nodes
# 1265690 relationships
# 8211012 properties
# cut -d, -f 2 all_edges.csv | sort | uniq -c | sort -nr
# 319121 intermediary of
# 316472 registered address
# 277380 shareholder of
# 118589 Director of
# 105408 Shareholder of
# 46761 similar name and address as
# 36318 Records & Registers of
# 15151 beneficiary of
# 14351 Secretary of
# 4031 Beneficiary of
# 3146 same name and registration date as
# 1847 Beneficial Owner of
# 1418 Trustee of Trust of
# 1234 Trust Settlor of
# 1229 Authorised Person / Signatory of
# 1198 Protector of
# 1130 Nominee Shareholder of
# 960 same address as
# 622 related entity
# 583 Assistant Secretary of
# 409 Alternate Director of
# 320 Co-Trustee of Trust of
# 281 Officer of
# 272 Resident Director of
# 207 Auditor of
# 173 Correspondent Addr. of
# 123 Bank Signatory of
# 120 General Accountant of
# 101 Nominated Person of
mkdir -p panama
cd panama
# load apoc from https://github.com/neo4j-contrib/neo4j-apoc-procedures/releases/tag/1.0.0
mkdir -p plugins
curl -L https://github.com/neo4j-contrib/neo4j-apoc-procedures/releases/download/1.0.0/apoc-1.0.0.jar -o plugins/apoc-1.0.0.jar
# load public panama-papers files from: https://offshoreleaks.icij.org/pages/database
if [ ! -f data-csv.zip ]; then curl -OL https://cloudfront-files-1.publicintegrity.org/offshoreleaks/data-csv.zip; fi
unzip -o -j data-csv.zip -d import
tr -d '\\' < import/Addresses.csv > import/Addresses_fixed.csv
export PORT=`date +%S`123
echo $PORT
export HERE=`pwd`
mkdir -p $HERE/data
rm -rf $HERE/data/*
export CONTAINER=`docker run \
--name neo4j-panama \
--detach \
--publish=$PORT:7474 \
--volume=$HERE/data:/data \
--volume=$HERE/import:/var/lib/neo4j/import \
--volume=$HERE/plugins:/plugins \
--ulimit=nofile=40000:40000 \
--env=NEO4J_dbms_memory_heap_maxSize=5000 \
--env=NEO4J_dbms_memory_pagecache_size=500M \
neo4j:3.0`
docker ps -f name=neo4j-panama
sleep 5
docker exec -i $CONTAINER /var/lib/neo4j/bin/neo4j-shell -f << EOF
match (n) detach delete n;
create constraint on (n:Node) assert n.node_id is unique;
USING PERIODIC COMMIT 10000
LOAD CSV WITH HEADERS FROM "file:///Addresses_fixed.csv" AS row MERGE (n:Node {node_id:row.node_id}) ON CREATE SET n = row, n:Address;
USING PERIODIC COMMIT 10000
LOAD CSV WITH HEADERS FROM "file:///Intermediaries.csv" AS row MERGE (n:Node {node_id:row.node_id}) ON CREATE SET n = row, n:Intermediary;
USING PERIODIC COMMIT 10000
LOAD CSV WITH HEADERS FROM "file:///Entities.csv" AS row MERGE (n:Node {node_id:row.node_id}) ON CREATE SET n = row, n:Entity;
USING PERIODIC COMMIT 10000
LOAD CSV WITH HEADERS FROM "file:///Officers.csv" AS row MERGE (n:Node {node_id:row.node_id}) ON CREATE SET n = row, n:Officer;
USING PERIODIC COMMIT
LOAD CSV WITH HEADERS FROM "file:///all_edges.csv" AS row
WITH row WHERE row.rel_type = "intermediary_of"
MATCH (n1:Node) WHERE n1.node_id = row.node_1
MATCH (n2:Node) WHERE n2.node_id = row.node_2
CREATE (n1)-[:INTERMEDIARY_OF]->(n2);
USING PERIODIC COMMIT
LOAD CSV WITH HEADERS FROM "file:///all_edges.csv" AS row
WITH row WHERE row.rel_type = "officer_of"
MATCH (n1:Node) WHERE n1.node_id = row.node_1
MATCH (n2:Node) WHERE n2.node_id = row.node_2
CREATE (n1)-[:OFFICER_OF]->(n2);
USING PERIODIC COMMIT
LOAD CSV WITH HEADERS FROM "file:///all_edges.csv" AS row
WITH row WHERE row.rel_type = "registered_address"
MATCH (n1:Node) WHERE n1.node_id = row.node_1
MATCH (n2:Node) WHERE n2.node_id = row.node_2
CREATE (n1)-[:REGISTERED_ADDRESS]->(n2);
USING PERIODIC COMMIT
LOAD CSV WITH HEADERS FROM "file:///all_edges.csv" AS row
WITH row WHERE row.rel_type = "similar"
MATCH (n1:Node) WHERE n1.node_id = row.node_1
MATCH (n2:Node) WHERE n2.node_id = row.node_2
CREATE (n1)-[:SIMILAR]->(n2);
USING PERIODIC COMMIT
LOAD CSV WITH HEADERS FROM "file:///all_edges.csv" AS row
WITH row WHERE row.rel_type = "underlying"
MATCH (n1:Node) WHERE n1.node_id = row.node_1
MATCH (n2:Node) WHERE n2.node_id = row.node_2
CREATE (n1)-[:UNDERLYING]->(n2);
DROP CONSTRAINT ON (n:Node) ASSERT n.node_id IS UNIQUE;
MATCH (n) REMOVE n:Node;
CREATE INDEX ON :Officer(name);
CREATE INDEX ON :Entity(name);
CREATE INDEX ON :Entity(address);
CREATE INDEX ON :Intermediary(name);
CREATE INDEX ON :Address(address);
// stats
MATCH (n)-[r]->(m)
RETURN labels(n),type(r),labels(m),count(*)
ORDER BY count(*) DESC;
schema await
EOF
echo "Neo4j running on $PORT mounted $HERE/data and $HERE/import container: $CONTAINER"
echo "To kill run: docker rm -f $CONTAINER"
CREATE INDEX ON :Intermediary(name);
CREATE INDEX ON :Address(address);
CREATE INDEX ON :Officer(name);
CREATE INDEX ON :Entity(name);
CREATE INDEX ON :Entity(address);
CREATE INDEX ON :Entity(jurisdiction);
CREATE INDEX ON :Entity(incorporation_date);
CREATE INDEX ON :Entity(inactivation_date);
CREATE INDEX ON :Entity(struck_off_date);
CREATE INDEX ON :Entity(service_provider);
CREATE INDEX ON :Entity(original_name);
CREATE INDEX ON :Entity(status);
CREATE INDEX ON :Entity(country_codes);
CREATE INDEX ON :Address(country_codes);
CREATE INDEX ON :Intermediary(country_codes);
CREATE INDEX ON :Officer(country_codes);
// everything below is optional for fun
// mark officers as companies
unwind [" LTD","SURVIVORSHIP"," CORP","LIMITED","INC","FOUNDATION"," S.A.","PORTADOR","TRUST","BEARER","INTERNATIONAL","COMPANY","ANSTALT","INVESTMENTS"," B.V."," AG"] as designation
match (o:Officer)
WHERE NOT o:Company AND toUpper(o.name) CONTAINS designation
SET o:Company;
// set sources as label for faster filtering
MATCH (n) WHERE n.sourceID = "Panama Papers" and NOT n:PP
SET n:PP;
MATCH (n) WHERE n.sourceID = "Offshore Leaks" and NOT n:OSL
SET n:OSL;
// extract country nodes
CREATE CONSTRAINT ON (c:Country) ASSERT c.code IS UNIQUE;
CALL apoc.periodic.commit("
MATCH (n) WHERE exists(n.country_codes)
WITH n limit 50000
WITH n, split(n.country_codes,';') as codes,split(n.countries,';') as countries
FOREACH (idx in range(0,size(codes)-1) |
MERGE (country:Country {code:codes[idx]}) ON CREATE SET country.name = countries[idx]
MERGE (n)-[:LOCATED_IN]->(country)
)
REMOVE n.country_codes, n.countries
RETURN count(*)
",{});
// create a full-text index
CALL apoc.index.addAllNodes('offshore',{
Officer: ["name"],
Intermediary: ["name","address"],
Address: ["address"],
Entity: ["name", "address", "service_provider", "former_name", "company_type"]});
// top-20 officers
match (o:Officer:PP)
WHERE NOT o:Company
return o.name,
size( (o)-[:OFFICER_OF]->()) as deg
order by deg desc limit 100;
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