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Ca.pipe(S(t=>t.observe(e)),g(t=>eo.pipe(A(({target:r})=>r===e),R(()=>t.unobserve(e)),l(()=>he(e)))),V(he(e)))}function bt(e){return{width:e.scrollWidth,height:e.scrollHeight}}function ar(e){let t=e.parentElement;for(;t&&(e.scrollWidth<=t.scrollWidth&&e.scrollHeight<=t.scrollHeight);)t=(e=t).parentElement;return t?e:void 0}var to=new x,Ra=$(()=>k(new IntersectionObserver(e=>{for(let t of e)to.next(t)},{threshold:0}))).pipe(g(e=>L(ze,k(e)).pipe(R(()=>e.disconnect()))),X(1));function sr(e){return Ra.pipe(S(t=>t.observe(e)),g(t=>to.pipe(A(({target:r})=>r===e),R(()=>t.unobserve(e)),l(({isIntersecting:r})=>r))))}function ro(e,t=16){return dt(e).pipe(l(({y:r})=>{let n=he(e),o=bt(e);return r>=o.height-n.height-t}),J())}var cr={drawer:z("[data-md-toggle=drawer]"),search:z("[data-md-toggle=search]")};function no(e){return cr[e].checked}function Ke(e,t){cr[e].checked!==t&&cr[e].click()}function Ue(e){let t=cr[e];return b(t,"change").pipe(l(()=>t.checked),V(t.checked))}function ka(e,t){switch(e.constructor){case HTMLInputElement:return e.type==="radio"?/^Arrow/.test(t):!0;case HTMLSelectElement:case HTMLTextAreaElement:return!0;default:return e.isContentEditable}}function Ha(){return L(b(window,"compositionstart").pipe(l(()=>!0)),b(window,"compositionend").pipe(l(()=>!1))).pipe(V(!1))}function oo(){let e=b(window,"keydown").pipe(A(t=>!(t.metaKey||t.ctrlKey)),l(t=>({mode:no("search")?"search":"global",type:t.key,claim(){t.preventDefault(),t.stopPropagation()}})),A(({mode:t,type:r})=>{if(t==="global"){let n=_e();if(typeof n!="undefined")return!ka(n,r)}return!0}),pe());return Ha().pipe(g(t=>t?M:e))}function le(){return new URL(location.href)}function ot(e){location.href=e.href}function io(){return new x}function ao(e,t){if(typeof t=="string"||typeof t=="number")e.innerHTML+=t.toString();else if(t instanceof Node)e.appendChild(t);else if(Array.isArray(t))for(let r of t)ao(e,r)}function _(e,t,...r){let n=document.createElement(e);if(t)for(let o of 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Error(r.statusText)):k(r)))}function We(e,t){return ur(e,t).pipe(g(r=>r.json()),X(1))}function uo(e,t){let r=new DOMParser;return ur(e,t).pipe(g(n=>n.text()),l(n=>r.parseFromString(n,"text/xml")),X(1))}function pr(e){let t=_("script",{src:e});return $(()=>(document.head.appendChild(t),L(b(t,"load"),b(t,"error").pipe(g(()=>Ot(()=>new ReferenceError(`Invalid script: ${e}`))))).pipe(l(()=>{}),R(()=>document.head.removeChild(t)),ge(1))))}function po(){return{x:Math.max(0,scrollX),y:Math.max(0,scrollY)}}function lo(){return L(b(window,"scroll",{passive:!0}),b(window,"resize",{passive:!0})).pipe(l(po),V(po()))}function mo(){return{width:innerWidth,height:innerHeight}}function ho(){return b(window,"resize",{passive:!0}).pipe(l(mo),V(mo()))}function bo(){return G([lo(),ho()]).pipe(l(([e,t])=>({offset:e,size:t})),X(1))}function lr(e,{viewport$:t,header$:r}){let n=t.pipe(ee("size")),o=G([n,r]).pipe(l(()=>Xe(e)));return G([r,t,o]).pipe(l(([{height:i},{offset:s,size:a},{x:f,y:c}])=>({offset:{x:s.x-f,y:s.y-c+i},size:a})))}(()=>{function e(n,o){parent.postMessage(n,o||"*")}function t(...n){return n.reduce((o,i)=>o.then(()=>new Promise(s=>{let a=document.createElement("script");a.src=i,a.onload=s,document.body.appendChild(a)})),Promise.resolve())}var r=class extends EventTarget{constructor(n){super(),this.url=n,this.m=i=>{i.source===this.w&&(this.dispatchEvent(new MessageEvent("message",{data:i.data})),this.onmessage&&this.onmessage(i))},this.e=(i,s,a,f,c)=>{if(s===`${this.url}`){let u=new ErrorEvent("error",{message:i,filename:s,lineno:a,colno:f,error:c});this.dispatchEvent(u),this.onerror&&this.onerror(u)}};let o=document.createElement("iframe");o.hidden=!0,document.body.appendChild(this.iframe=o),this.w.document.open(),this.w.document.write(` + + + + + + + + + + + + + + + + + + + + + + + + + + +
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hNhM book

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Visits

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hNhM(highly Normalized hybrid Model) – data modeling methodology based on Anchor modeling and Data Vault. Implementation of this package is based on report "How we implemented our data storage model — highly Normalized hybrid Model" by Evgeny Ermakov and Nikolai Grebenshchikov. +1) Yandex Report, habr.com. 2) SmartData Conference, youtube.com

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+ + + + + + + + + \ No newline at end of file diff --git a/search/search_index.json b/search/search_index.json new file mode 100644 index 0000000..37da4e3 --- /dev/null +++ b/search/search_index.json @@ -0,0 +1 @@ +{"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"hNhM book","text":"

hNhM(highly Normalized hybrid Model) \u2013 data modeling methodology based on Anchor modeling and Data Vault. Implementation of this package is based on report \"How we implemented our data storage model \u2014 highly Normalized hybrid Model\" by Evgeny Ermakov and Nikolai Grebenshchikov. 1) Yandex Report, habr.com. 2) SmartData Conference, youtube.com

"},{"location":"tutorial/init-hnhm/","title":"Init hNhM","text":"

Create the __hnhm__.py file with the following contents:

# __hnhm__.py\nfrom hnhm import PostgresPsycopgSql\n\nsql = PostgresPsycopgSql(\n    database=\"coinmarket\",\n    user=\"hnhm\",\n    password=\"123\", # replace it with an environment variable in the future :)\n    port=5433,\n)\n

This sql object will help us to generate and execute SQL queries in the database.

"},{"location":"tutorial/intro/","title":"Intro","text":""},{"location":"tutorial/raw-data/","title":"Raw Data","text":"

Create the etl__raw.py file. It does the following: - Fetch the latest currencies - Create the table in the database - Insert data

# etl__raw.py\nimport os\n\nimport requests\nfrom psycopg2.extras import Json\n\nfrom tutorial.__hnhm__ import sql\n\nCOINMARKET_TOKEN = os.environ[\"COINMARKET_TOKEN\"]\n\n\ndef get_listings() -> list[dict]:\n    r = requests.get(\n        \"https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest\",\n        headers={\"X-CMC_PRO_API_KEY\": COINMARKET_TOKEN},\n    )\n    assert r.status_code == 200\n\n    data = r.json()\n\n    return [\n        {\"timestamp\": data[\"status\"][\"timestamp\"], \"listing\": listing}\n        for listing in data[\"data\"]\n    ]\n\n\ndef save_listings(listings: list[dict]):\n    sql.execute(\n\"\"\"\n        CREATE TABLE IF NOT EXISTS raw_listings(\n            id SERIAL PRIMARY KEY,\n            data JSONB\n        )\n    \"\"\"\n    )\n\n    sql.execute_many(\n\"\"\"\n        INSERT INTO\n            raw_listings(data)\n        VALUES\n            (%s)\n    \"\"\",\n        ((Json(listing),) for listing in listings),\n    )\n\n\nif __name__ == \"__main__\":\n    listings = get_listings()\n    save_listings(listings)\n    print(f\"Successfully saved: {len(listings)} listings!\")\n
"},{"location":"tutorial/setup/","title":"Setup","text":""},{"location":"tutorial/setup/#setup-coinmarket-account","title":"Setup CoinMarket account","text":"

Create free account to work with the CoinMarket API.

"},{"location":"tutorial/setup/#setup-python","title":"Setup Python","text":"
  • Create a directory for the guide:
    mkdir hnhm_guide\ncd hnhm_guide\n
  • Install Python with version >= 3.10.
  • Create virtualenv (personally, I prefer poetry):
    python3.10 -m virtualenv venv\nsource ./venv/bin/activate\n
  • Create the file requirements.txt:
    # requirements.txt\nrequests==2.31.0\nhnhm\n
  • Install packages:
    pip install -r requirements.txt\n

File layout at the end of current step:

.\n\u251c\u2500\u2500 requirements.txt\n\u2514\u2500\u2500 venv\n

"},{"location":"tutorial/setup/#setup-postgres","title":"Setup Postgres","text":"

Let's set up Postgres database. You could use the following docker-compose.yml file to run Postgres:

# docker-compose.yml \nversion: \"3.9\"\n\nvolumes:\npostgres_data: { }\n\nservices:\npostgres:\nimage: postgres:15\nvolumes:\n- \"postgres_data:/var/lib/postgresql/data\"\nports:\n- \"5433:5432\"\nenvironment:\nPOSTGRES_DB: coinmarket\nPOSTGRES_USER: hnhm\nPOSTGRES_PASSWORD: 123\n

Run Postgres with the following command:

docker-compose up -d\n\n# [+] Running 3/3\n#  \u2714 Network hnhm_guide_default         Created                                                                                                                                      0.1s \n#  \u2714 Volume \"hnhm_guide_postgres_data\"  Created                                                                                                                                      0.0s \n#  \u2714 Container hnhm_guide-postgres-1    Started\n

Now you should have access to the coinmarket database:

psql -h localhost -p 5433 -U hnhm coinmarket\n# Password for user hnhm: 123\n\n~# \\dt\n# Did not find any relations.\n

File layout at the end of current step:

.\n\u251c\u2500\u2500 docker-compose.yml\n\u251c\u2500\u2500 requirements.txt\n\u2514\u2500\u2500 venv\n

"}]} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..66c4d29 --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,28 @@ + + + + https://marchinho11.github.io/hnhm/ + 2023-07-02 + daily + + + https://marchinho11.github.io/hnhm/tutorial/init-hnhm/ + 2023-07-02 + daily + + + https://marchinho11.github.io/hnhm/tutorial/intro/ + 2023-07-02 + daily + + + https://marchinho11.github.io/hnhm/tutorial/raw-data/ + 2023-07-02 + daily + + + https://marchinho11.github.io/hnhm/tutorial/setup/ + 2023-07-02 + daily + + \ No newline at end of file diff --git a/sitemap.xml.gz b/sitemap.xml.gz new file mode 100644 index 0000000000000000000000000000000000000000..441ecbd3653b41632f2627964521669872af3ab6 GIT binary patch literal 248 zcmV + + + + + + + + + + + + + + + + + + + + + + Init HnHm - hNhM Book + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Init hNhM

+

Create the __hnhm__.py file with the following contents: +

# __hnhm__.py
+from hnhm import PostgresPsycopgSql
+
+sql = PostgresPsycopgSql(
+    database="coinmarket",
+    user="hnhm",
+    password="123", # replace it with an environment variable in the future :)
+    port=5433,
+)
+

+

This sql object will help us to generate and execute SQL queries in the database.

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+ + + + + + + + + \ No newline at end of file diff --git a/tutorial/intro/index.html b/tutorial/intro/index.html new file mode 100644 index 0000000..af32ddc --- /dev/null +++ b/tutorial/intro/index.html @@ -0,0 +1,438 @@ + + + + + + + + + + + + + + + + + + + + + + + + Intro - hNhM Book + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Intro

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Raw Data

+

Create the etl__raw.py file. It does the following: +- Fetch the latest currencies +- Create the table in the database +- Insert data

+
# etl__raw.py
+import os
+
+import requests
+from psycopg2.extras import Json
+
+from tutorial.__hnhm__ import sql
+
+COINMARKET_TOKEN = os.environ["COINMARKET_TOKEN"]
+
+
+def get_listings() -> list[dict]:
+    r = requests.get(
+        "https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest",
+        headers={"X-CMC_PRO_API_KEY": COINMARKET_TOKEN},
+    )
+    assert r.status_code == 200
+
+    data = r.json()
+
+    return [
+        {"timestamp": data["status"]["timestamp"], "listing": listing}
+        for listing in data["data"]
+    ]
+
+
+def save_listings(listings: list[dict]):
+    sql.execute(
+        """
+        CREATE TABLE IF NOT EXISTS raw_listings(
+            id SERIAL PRIMARY KEY,
+            data JSONB
+        )
+    """
+    )
+
+    sql.execute_many(
+        """
+        INSERT INTO
+            raw_listings(data)
+        VALUES
+            (%s)
+    """,
+        ((Json(listing),) for listing in listings),
+    )
+
+
+if __name__ == "__main__":
+    listings = get_listings()
+    save_listings(listings)
+    print(f"Successfully saved: {len(listings)} listings!")
+
+ + + + + + +
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+ + +
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+ + + + + + + + + \ No newline at end of file diff --git a/tutorial/setup/index.html b/tutorial/setup/index.html new file mode 100644 index 0000000..a51c4a8 --- /dev/null +++ b/tutorial/setup/index.html @@ -0,0 +1,580 @@ + + + + + + + + + + + + + + + + + + + + + + + + Setup - hNhM Book + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
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Setup

+

Setup CoinMarket account

+

Create free account to work with the CoinMarket API.

+

Setup Python

+
    +
  • Create a directory for the guide: +
    mkdir hnhm_guide
    +cd hnhm_guide
    +
  • +
  • Install Python with version >= 3.10.
  • +
  • Create virtualenv (personally, I prefer poetry): +
    python3.10 -m virtualenv venv
    +source ./venv/bin/activate
    +
  • +
  • Create the file requirements.txt: +
    # requirements.txt
    +requests==2.31.0
    +hnhm
    +
  • +
  • Install packages: +
    pip install -r requirements.txt
    +
  • +
+

File layout at the end of current step: +

.
+├── requirements.txt
+└── venv
+

+

Setup Postgres

+

Let's set up Postgres database. You could use the following docker-compose.yml file to run Postgres:

+
# docker-compose.yml 
+version: "3.9"
+
+volumes:
+  postgres_data: { }
+
+services:
+  postgres:
+    image: postgres:15
+    volumes:
+      - "postgres_data:/var/lib/postgresql/data"
+    ports:
+      - "5433:5432"
+    environment:
+      POSTGRES_DB: coinmarket
+      POSTGRES_USER: hnhm
+      POSTGRES_PASSWORD: 123
+
+

Run Postgres with the following command: +

docker-compose up -d
+
+# [+] Running 3/3
+#  ✔ Network hnhm_guide_default         Created                                                                                                                                      0.1s 
+#  ✔ Volume "hnhm_guide_postgres_data"  Created                                                                                                                                      0.0s 
+#  ✔ Container hnhm_guide-postgres-1    Started
+

+

Now you should have access to the coinmarket database: +

psql -h localhost -p 5433 -U hnhm coinmarket
+# Password for user hnhm: 123
+
+~# \dt
+# Did not find any relations.
+

+

File layout at the end of current step: +

.
+├── docker-compose.yml
+├── requirements.txt
+└── venv
+

+ + + + + + +
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